All Stories

  1. Learning-Guided Adaptive Search Optimization for the Weighted Independent Set Problem
  2. Advancements in data-driven evolving fuzzy and neuro-fuzzy control: A comprehensive survey
  3. Power-Considered Fault-Tolerant Control for Nonlinear Systems With Nonfragile Prescribed Performance
  4. Boundary-Aware Sliding Prescribed Performance Control for PMSMs under Compound Uncertainties
  5. Fractional-order ultra-local model-based direct adaptive fuzzy sliding mode control for mechatronic systems with mismatched disturbances and input nonlinearities
  6. Fictitious Reference Iterative Tuning of Active Disturbance Rejection Control Combined with Fuzzy Logic for Crane Systems
  7. A novel dynamic prescribed performance fuzzy-neural backstepping control for PMSM under step load
  8. Type-2 Fuzzy Single Hidden Layer Recurrent Neural Adaptive Terminal Super-Twisting Control of Robot Joint
  9. Optimization-driven control design for the nonlinear two-wheeled unstable transporter system
  10. Non-fragile fuzzy control of input-saturated systems with global prescribed performance via an error-triggered mechanism
  11. Separation of Different Orbital Angular Momentum Photon States with Log-pol Transformation
  12. ACTIVE DISTURBANCE REJECTION CONTROL AND MODEL-FREE CONTROL TUNED VIA FICTITIOUS REFERENCE ITERATIVE TUNING
  13. Iterative Feedback Tuning of Anti-Windup PI Fuzzy Control of Tower Crane System Payload Position
  14. Active Disturbance Rejection Control Tuned by Fictitious Reference Iterative Tuning for Tower Crane Systems
  15. Integrated planning, operation and optimization of coupled transportation and energy systems
  16. Closed-Loop Controllers for Angular Speed and Angular Position Control of Lego Robots
  17. Nonlinear Controllers Dedicated to Modular Servo System Laboratory Equipment
  18. Thermal Image Calibration Method for Temperature Measurement Using Sensor Fusion
  19. Model-free global sliding mode control using adaptive fuzzy system under constrained input amplitude and rate for mechatronic systems subject to mismatched disturbances
  20. Higher-Order Model-Free Control Tuned by Fictitious Reference Iterative Tuning for 3D Cranes
  21. Integration of e-scooter sharing with public transit on employment accessibility and equity
  22. Classical and Modern Optimization Techniques Applied to Control and Modeling
  23. Safe reinforcement learning-based control using deep deterministic policy gradient algorithm and slime mould algorithm with experimental tower crane system validation
  24. Stochastic Neural Network Control for Stochastic Nonlinear Systems With Quadratic Local Asymmetric Prescribed Performance
  25. Customized Non-Monotonic Prescribed Performance Control for Stochastic MEMS Gyroscopes With Insufficient Input Capability
  26. Suction Cup-Type Prescribed Performance Fault-Tolerant Fuzzy Control for Nonlinear Systems Considering Actuator Power
  27. Direct Iterative Feedback Tuning of Anti-Windup Fuzzy Controllers for Payload Position Control of Tower Crane Systems
  28. Intelligent Paradigms for Control and Data Mining in Healthcare Applications
  29. Model-Free Adaptive Control for Three-Dimensional Crane Systems
  30. Preface
  31. METAHEURISTIC-BASED TUNING OF PROPORTIONAL-DERIVATIVE LEARNING RULES FOR PROPORTIONAL-INTEGRAL FUZZY CONTROLLERS IN TOWER CRANE SYSTEM PAYLOAD POSITION CONTROL
  32. OSSEFS: An online semi-supervised ensemble fuzzy system for data streams learning with missing values
  33. Classical and Fuzzy Controllers for an Optimally Tuned Model of a Strip Winding System
  34. Sliding Mode and Super-Twisting Sliding Mode Control Structures for Vertical Three-Tank Systems
  35. Statistical Computational Model of Fission Products Composition of Irradiated Nuclear Fuel and Their Contribution to Gas-aerosol Emissions of Nuclear Power Plants
  36. Adaptive reinforcement learning-based control using proximal policy optimization and slime mould algorithm with experimental tower crane system validation
  37. Hamiltonian-Based Control Approach with Pendulum Application
  38. Hybrid Data-Driven Active Disturbance Rejection Sliding Mode Control with Tower Crane Systems Validation
  39. Active Disturbance Rejection Control for 3D Crane Systems
  40. Iterative Feedback Tuning Algorithms for Two Rotor Aerodynamic Systems
  41. Tensor-Based Approach to Diagnostic Causal Network Modeling
  42. Using Tensor-Type Formalism in Causal Networks
  43. Guest Editorial to the Special Section on Composite Adaptive and Learning Control With Robotic Applications
  44. A survey on fuzzy control for mechatronics applications
  45. Q-LEARNING, POLICY ITERATION AND ACTOR-CRITIC REINFORCEMENT LEARNING COMBINED WITH METAHEURISTIC ALGORITHMS IN SERVO SYSTEM CONTROL
  46. Tensor Product-based and State Feedback Control Solutions for Cart Position Control of Pendulum-Cart Systems
  47. Two Discrete-Time Data-Driven Sliding Mode Controllers for Tower Crane Systems
  48. Approach to Evaluate the Data of Moss Biomonitoring Studies: Preprocessing and Preliminary Ranking
  49. Neural Network-based control using Actor-Critic Reinforcement Learning and Grey Wolf Optimizer with experimental servo system validation
  50. SMA-Based Tuning of PI Controller Using Takagi-Sugeno Fuzzy Observers for an Electromechanical System with Variable Parameters
  51. Guest editorial introduction to the special issue on “Emerging control and automation technologies for advanced mechatronic systems”
  52. Fictitious Reference Iterative Tuning of Intelligent Proportional-Integral Controllers for Tower Crane Systems
  53. Discrete-time Observers for a Mechatronics System with PID Controllers Tuned Using SMA
  54. PI and Super Twisting Sliding Mode with Smith Predictor Control Structures for SMA Actuators
  55. DISCRETE-TIME MODEL-BASED SLIDING MODE CONTROLLERS FOR TOWER CRANE SYSTEMS
  56. Slime Mold Algorithm-Based Performance Improvement of PD-Type Indirect Iterative Learning Fuzzy Control of Tower Crane Systems
  57. Fictitious Reference Iterative Tuning of Discrete-Time Model-Free Control for Tower Crane Systems
  58. Intelligent Proportional Controller Tuned by Virtual Reference Feedback Tuning and Fictitious Reference Iterative Tuning
  59. Discrete-time Linear and Nonlinear Observers for an Electromechanical Plant with State Feedback Control
  60. Extended Kalman filter and Takagi-Sugeno fuzzy observer for a strip winding system
  61. Tensor Product-based and State Feedback Structures for Level Control of Vertical Three Tank Systems
  62. Evolving Fuzzy and Tensor Product-based Models for Tower Crane Systems
  63. Hybrid Particle Filter–Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems
  64. Linear and Nonlinear Observers Developed for Direct Current Electric Drive Systems
  65. Data-Driven Control Algorithms for Shape Memory Alloys
  66. AVOA-Based Tuning of Low-Cost Fuzzy Controllers for Tower Crane Systems
  67. Colored Petri nets-based control and experimental validation on three-tank system level control
  68. GWO-Based Performance Improvement of PD-Type Iterative Learning Fuzzy Control of Tower Crane Systems
  69. Fuzzy Models for a Two-Wheeled Self-Balancing Robot
  70. Signal Preprocessing and Artifact Removal for Brain-Computer Interfaces
  71. A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS
  72. Policy Iteration Reinforcement Learning-based control using a Grey Wolf Optimizer algorithm
  73. Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems
  74. Reinforcement Learning-based control using Q-learning and gravitational search algorithm with experimental validation on a nonlinear servo system
  75. GWO-Based Optimal Tuning of Controllers for Shape Memory Alloy Wire Actuators
  76. Improvement of K-means Cluster Quality by Post Processing Resulted Clusters
  77. Iterative Feedback Tuning Algorithm for Tower Crane Systems
  78. PI Controller Tuning via Data-Driven Algorithms for Shape Memory Alloy Systems
  79. Data-Driven Model-Free Controllers
  80. Intelligent Paradigms for Diagnosis, Prediction and Control in Healthcare Applications
  81. A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics
  82. Tensor Product-Based Model Transformation Technique Applied to Servo Systems Modeling
  83. Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm
  84. Front Matter
  85. Analysis of Monetary Policy Decisions of the National Bank of Romania with Text Mining Techniques
  86. Experiment-Based Approach to Teach Optimization Techniques
  87. Tensor product‐based model transformation approach to tower crane systems modeling
  88. Tensor product‐based model transformation approach to cart position modeling and control in pendulum‐cart systems
  89. Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems
  90. A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation
  91. GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems
  92. Slime Mould Algorithm-Based Tuning of Cost-Effective Fuzzy Controllers for Servo Systems
  93. Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems
  94. Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation
  95. First-Order Active Disturbance Rejection-Virtual Reference Feedback Tuning Control of Tower Crane Systems
  96. Whale Optimization Algorithm-Based Tuning of Low-Cost Fuzzy Controllers with Reduced Parametric Sensitivity
  97. A CENTER MANIFOLD THEORY-BASED APPROACH TO THE STABILITY ANALYSIS OF STATE FEEDBACK TAKAGI-SUGENO-KANG FUZZY CONTROL SYSTEMS
  98. Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control
  99. Design of Low-Cost Fuzzy Controllers with Reduced Parametric Sensitivity Based on Whale Optimization Algorithm
  100. A framework for improving electoral forecasting based on time-aware polling
  101. Wilt Dataset-based Comparative Analysis of Three Neural Networks
  102. Model-based fuzzy control results for networked control systems
  103. Extending BigTim Distributed Clustering Platform to Support Mobile Devices
  104. Frequency Domain Design of Controllers for Lighting Process
  105. Models of Two-Wheeled Mobile Robots with Experimental Validation
  106. Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots
  107. The 23rd International Conference on Systems Theory, Control, and Computing (ICSTCC 2019) [Conference Reports]
  108. RESULTS AND CHALLENGES OF ARTIFICIAL NEURAL NETWORKS USED FOR DECISION-MAKING AND CONTROL IN MEDICAL APPLICATIONS
  109. A hierarchical learning control framework for tracking tasks, based on model-free principles
  110. Model -Free Adaptive Control With Fuzzy Component for Tower Crane Systems
  111. TP–Based Fuzzy Control Solutions for Magnetic Levitation Systems
  112. Tensor Product–Based Model Transformation and Sliding Mode Control of Electromagnetic Actuated Clutch System
  113. ICSTCC 2019 Welcome Message
  114. TP–Based model transformation and gain-scheduling control of electromagnetic actuated clutch systems
  115. A novel methodology for improving election poll prediction using time-aware polling
  116. Evolving Fuzzy and Neural Network Models of Finger Dynamics for Prosthetic Hand Myoelectric-based Control
  117. Evolving Fuzzy Models for Prosthetic Hand Myoelectric-based Control Using Weighted Recursive Least Squares Algorithm for Identification
  118. Cascade Control Solutions for Level Control of Vertical Three Tank Systems
  119. Implementing a Platform to Run Clustering Algorithms Using Distributed Computing
  120. Intelligent Lighting System Platform Architecture and Linear Process Models
  121. Speed and Acceleration Control of BLDC Drives Using Different Types of Observers
  122. Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems
  123. Tensor Product-Based Model Transformation Technique Applied to Modeling Magnetic Levitation Systems
  124. Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers
  125. Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems
  126. Hybrid nature-inspired algorithms for the optimal tuning of fuzzy controllers
  127. Conclusions
  128. Introduction
  129. Nature-inspired algorithms for the optimal tuning of fuzzy controllers
  130. Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems
  131. Results on Tensor Product-based Model Transformation of Magnetic Levitation Systems
  132. Data-driven MIMO model-free reference tracking control with nonlinear state-feedback and fractional order controllers
  133. Discrete time Control Solutions for Inverted Pendulum Crane Mode Control
  134. Cascade Control Solutions for Maglev Systems
  135. Recurrent Neural Network Models for Myoelectricbased Control of a Prosthetic Hand
  136. Application of grey wolf optimization in fuzzy controller tuning for servo systems
  137. Comparative Study of Control Structures for Maglev Systems
  138. Data-Driven Active Disturbance Rejection Control of Pendulum Cart Systems
  139. Data-Driven Model-Free Model-Reference Nonlinear Virtual State Feedback Control from Input-Output Data
  140. Structure and Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control Systems
  141. A Novel Method to Compute the Membership Value of the States of Fuzzy Automata
  142. Control Solutions for Vertical Three-Tank Systems
  143. Feedback Control Solutions for an Electromechanical Process with Rigid Body Dynamics
  144. Parallel Implementation of K-Means Algorithm Using MapReduce Approach
  145. Tensor Product-Based Model Transformation Technique Applied to Modeling Vertical Three Tank Systems
  146. An Approach to the Design of Nonlinear State-Space Control Systems
  147. Data-driven model reference control of MIMO vertical tank systems with model-free VRFT and Q-Learning
  148. Data-driven model-free slip control of anti-lock braking systems using reinforcement Q-learning
  149. Gain-Scheduling Control Solutions for a Strip Winding System with Variable Moment of Inertia
  150. Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems
  151. Virtual Reference Feedback Tuning of Model-Free Control Algorithms for Servo Systems
  152. Combined control solution for an advanced mechatronics application
  153. Data-driven nonlinear VRFT for dead-zone compensation in servo systems control
  154. Fuzzy logic-based adaptive control scheme for magnetic levitation systems
  155. Tensor product-based model transformation for level control of vertical three tank systems
  156. Proportional-Integral-Derivative Gain-Scheduling Control of a Magnetic Levitation System
  157. AUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELS
  158. Model-free fuzzy control of twin rotor aerodynamic systems
  159. Multi input-multi output tank system data-driven model reference control
  160. Takagi-Sugeno fuzzy controller structures for twin rotor aerodynamic systems
  161. An Easily Understandable Grey Wolf Optimizer and Its Application to Fuzzy Controller Tuning
  162. Anti-lock braking systems data-driven control using Q-learning
  163. Evolving fuzzy models for Anti-lock Braking Systems
  164. Tensor product-based model transformation for position control of magnetic levitation systems
  165. Evolving Fuzzy Models for Automated Translation
  166. On a translated frame-based approach to geometric modeling of robots
  167. Evolving fuzzy models for the position control of magnetic levitation systems
  168. Centroid Update Approach to K-Means Clustering
  169. Model predictive control of a nonlinear laboratory twin rotor aero-dynamical system
  170. Model-Free Sliding Mode Control of Nonlinear Systems: Algorithms and Experiments
  171. Three-level hierarchical model-free learning approach to trajectory tracking control
  172. Hierarchical data-driven Model-Free Iterative Learning Control using primitives
  173. Improving model reference control performance using model-free VRFT and Q-learning
  174. Mixed MFC-VRFT Approach for a multivariable aerodynamic system position control
  175. Proportional-integral gain-scheduling control of a magnetic levitation system
  176. Model-Free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning
  177. The parameters of model-free controllers are tuned by virtual reference feedback tuning.
  178. State feedback and proportional-integral-derivative control of a magnetic levitation system
  179. Evolving fuzzy models for the position control of twin rotor aerodynamic systems
  180. Evolving fuzzy models for myoelectric-based control of a prosthetic hand
  181. Data-driven virtual reference feedback tuning and reinforcement Q-learning for model-free position control of an aerodynamic system
  182. Experiment-based comparison of nature-inspired algorithms for optimal tuning of PI-fuzzy controlled nonlinear DC servo systems
  183. An adaptable feedback control solution for a drive system with variable parameters
  184. Facial expression recognition system based on a face statistical model and Support Vector Machines
  185. On the architecture of a clustering platform for the analysis of big volumes of data
  186. Virtual Reference Feedback Tuning for position control of a twin rotor aerodynamic system
  187. Particle Swarm Optimization of fuzzy models for electromagnetic actuated clutch systems
  188. Recurrent dynamic neural network model for myoelectric-based control of a prosthetic hand
  189. A combination of evolving systems and metaheuristics
  190. Virtual Reference Feedback Tuning of MIMO Data-Driven Model-Free Adaptive Control Algorithms
  191. Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems with Reduced Parametric Sensitivity
  192. An H-infinity approach to optimal control of oxygen and carbon dioxide contents in blood
  193. Grey Wolf Optimizer-Based Approach to the Tuning of Pi-Fuzzy Controllers with a Reduced Process Parametric Sensitivity
  194. Pragmatic Design Methods Using Adaptive Controller Structures for Mechatronic Applications with Variable Parameters and Working Conditions
  195. State Feedback Control Solutions for a Mechatronics System with Variable Moment of Inertia
  196. Models for Force Control in Telesurgical Robot Systems
  197. Synergy of computers, cognition, communication and control with industrial applications
  198. Optimal behaviour prediction using a primitive-based data-driven model-free iterative learning control approach
  199. An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
  200. Model-Free Primitive-Based Iterative Learning Control Approach to Trajectory Tracking of MIMO Systems With Experimental Validation
  201. An efficient data-driven control algorithm with experimental validation
  202. A Unified Anti-Windup Technique for Fuzzy and Sliding Mode Controllers
  203. Extremum seeking control for an anaerobic digestion process
  204. Fuzzy control of an anaerobic digestion process
  205. Two data-driven control algorithms for a MIMO aerodynamic system with experimental validation
  206. Takagi-Sugeno PD+I fuzzy control of processes with variable moment of inertia
  207. Model predictive control solution for magnetic levitation systems
  208. Model predictive control of a mechatronic system with variable inputs
  209. Model predictive controllers for magnetic levitation systems
  210. PI and PID controller tuning for an automotive application using backtracking search optimization algorithms
  211. ROS-based robot navigation and human interaction in indoor environment
  212. Data-based two-degree-of-freedom iterative control approach to constrained non-linear systems
  213. Backtracking Search Optimization Algorithm-based approach to PID controller tuning for torque motor systems
  214. Optimal motion prediction using a primitive-based model-free iterative control approach for crane systems
  215. Data-driven optimal model-free control of twin rotor aerodynamic systems
  216. Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems
  217. A novel pose estimation algorithm for robotic navigation
  218. Adaptive Charged System Search Approach to Path Planning for Multiple Mobile Robots
  219. Implementation of Evolving Fuzzy Models of a Nonlinear Process
  220. Online identification of evolving Takagi–Sugeno–Kang fuzzy models for crane systems
  221. Adaptive GSA-Based Optimal Tuning of PI Controlled Servo Systems With Reduced Process Parametric Sensitivity, Robust Stability and Controller Robustness
  222. Iterative Data-Driven Tuning of Controllers for Nonlinear Systems With Constraints
  223. Multi-robot charged system search-based optimal path planning in static environments
  224. Frequency domain design of fractional order PI controllers for lambda control
  225. Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments
  226. An iterative data-driven algorithm. Read More: https://arc.aiaa.org/doi/10.2514/1.I010154
  227. On the development of signatures for Artificial Intelligence applications
  228. Stable fuzzy logic control of a general class of chaotic systems
  229. Design and testing of a constrained data-driven iterative reference input tuning algorithm
  230. Bacterial Foraging Optimization approach to the controller tuning for automotive torque motors
  231. Adaptive hybrid Particle Swarm Optimization-Gravitational Search Algorithm for fuzzy controller tuning
  232. Particle Swarm Optimization of fuzzy models for Anti-Lock Braking Systems
  233. Study on experimental plant of positioning control solutions for processes with variable moment of inertia
  234. Performance analysis of torque motor systems with PID controllers tuned by Bacterial Foraging Optimization algorithms
  235. Initialization and lost track recovery performance analysis of face features tracking
  236. DeeDee - A mobile intelligent system able to assist a type 1 diabetic through the daily life
  237. Data-driven Model-Free Adaptive Control of twin rotor aerodynamic systems
  238. Robot Coverage Path Planning Based on Iterative Structured Orientation
  239. Nature-inspired optimization algorithms applied to fuzzy control, fuzzy modeling, mobile robots and optical character recognition
  240. Tensor Product Model Transformation Control Application
  241. Chaos system stabilization using fuzzy control
  242. Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
  243. Model-free tuning solution for sliding mode control of servo systems
  244. Applications of Signatures to Expert Systems Modelling
  245. Constrained Data-Driven Model-Free ILC-based Reference Input Tuning Algorithm
  246. Review of tool-tissue interaction models for robotic surgery applications
  247. Adaptive Evolutionary Optimization Algorithms for Simple Fuzzy Controller Tuning Dedicated to Servo Systems
  248. Extension of Liskov Substitution Principle and Application to Curriculum Management
  249. An Approach to Fuzzy Modeling of Anti-lock Braking Systems
  250. Data-Driven Reference Trajectory Tracking Algorithm and Experimental Validation
  251. Constrained data-driven controller tuning for nonlinear systems
  252. Adaptable fuzzy control solutions for driving systems working under continuously variable conditions
  253. Hybrid PSO-GSA robot path planning algorithm in static environments with danger zones
  254. Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity
  255. Evolutionary optimization-based training of convolutional neural networks for OCR applications
  256. Solutions to avoid the worst case scenario in driving systems working under continuously variable conditions
  257. Multi-robot GSA- and PSO-based optimal path planning in static environments
  258. Low-cost neuro-fuzzy control solution for servo systems with variable parameters
  259. Data-based tuning of linear controllers for MIMO twin rotor systems
  260. An Approach to Fuzzy Modeling of Electromagnetic Actuated Clutch Systems
  261. Simulated annealing-based optimization of fuzzy models for magnetic levitation systems
  262. Simulated annealing approach to fuzzy modeling of servo systems
  263. Modeling and control of an Electric drive system with continuously variable reference, moment of inertia and load disturbance
  264. Data-driven performance improvement of control systems for three-tank systems
  265. Performance evaluation of a face detection algorithm running on general purpose operating systems
  266. Nrobotic mobile robot navigation using traffic signs in unknown indoor environments
  267. Design and experiments for model-free PI control of DC drives
  268. 2-DOF control solutions for an electric drive system under continuously variable conditions
  269. Fuzzy logic-based adaptive gravitational search algorithm for optimal tuning of fuzzy-controlled servo systems
  270. Choosing a Proper Control Structure for a Mechatronic System with Variable Parameters
  271. Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
  272. Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems
  273. Stability analysis and design of a class of MIMO fuzzy control systems
  274. A general formulation of abduction algorithms
  275. Simulation and control for telerobots in space medicine
  276. Experimental results of evolving Takagi—Sugeno fuzzy models for a nonlinear benchmark
  277. Novel Adaptive Gravitational Search Algorithm for Fuzzy Controlled Servo Systems
  278. Stable Iterative Correlation-based Tuning algorithm for servo systems
  279. Experiment-based approach to reference trajectory tracking
  280. Hybrid fuzzy control solutions for Brushless DC drives with Variable Moment of Inertia
  281. 2-DOF PI(D) Takagi-Sugeno and sliding mode controllers for BLDC drives
  282. Novel Tensor Product Models for Automatic Transmission System Control
  283. Novel design of cognitive system strategies
  284. Control structures for variable inertia output coupled drives
  285. Signatures: Definitions, operators and applications to fuzzy modelling
  286. Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing
  287. Iterative performance improvement of fuzzy control systems for three tank systems
  288. Takagi-Sugeno fuzzy control solutions for BLDC drives
  289. Adaptive control solutions for the position control of electromagnetic actuated clutch systems
  290. Signal processing in iterative improvement of inverted pendulum crane mode control system performance
  291. Novel iterative formulation of Correlation-Based Tuning
  292. Three Evolutionary Optimization Algorithms in PI Controller Tuning
  293. 2-DOF and Fuzzy Control Extensions of Symmetrical Optimum Design Method: Applications and Perspectives
  294. Ideas on a Pattern of Human Knowledge
  295. Points of View on Magnetic Levitation System Laboratory-Based Control Education
  296. Experimental Results of Model-Based Fuzzy Control Solutions for a Laboratory Antilock Braking System
  297. Charged System Search Algorithms for Optimal Tuning of PI Controllers
  298. A refinement of Sándor-Tóth's inequality
  299. Application of IFT and SPSA to Servo System Control
  300. State feedback fuzzy control solution for BLDC drives
  301. Low-cost optimal state feedback fuzzy control of nonlinear second-order servo systems
  302. Cooperation in multiagent systems
  303. A novel approach to Robust Fixed Point Transformations
  304. A cooperation scenario for multiagent systems
  305. 2-DOF control solutions for BLDC-m drives
  306. Experiment-Based Teaching in Advanced Control Engineering
  307. Low-cost fuzzy control approaches to a class of state feedback-controlled servo systems
  308. Comparative case study of position control solutions for a mechatronics application
  309. Stable iterative feedback tuning method for servo systems
  310. Previous and Current Cycle Learning approach to a 3D crane system laboratory equipment
  311. New results in abduction process modeling
  312. Mixed Virtual Reference Feedback Tuning - Iterative Feedback Tuning: Method and laboratory assessment
  313. Time delay compensation by fuzzy control in the case of master-slave telesurgery
  314. Parametric sensitivity reduction of PI-based control systems by means of evolutionary optimization algorithms
  315. Extensions in Symmetrical Optimum design method. Advantages, applications and perspectives
  316. Mixed Virtual Reference Feedback Tuning — Iterative Feedback Tuning approach to the position control of a laboratory servo system
  317. A survey on industrial applications of fuzzy control
  318. Stability Analysis of Fuzzy Logic Control Systems for a Class of Nonlinear SISO Discrete-Time Systems
  319. Optimal Control Systems with Reduced Parametric Sensitivity Based on Particle Swarm Optimization and Simulated Annealing
  320. Gravitational Search Algorithms in Fuzzy Control Systems Tuning
  321. Convergent Iterative Feedback Tuning of State Feedback-Controlled Servo Systems
  322. Cascade Control for Telerobotic Systems Serving Space Medicine*
  323. 2-DOF PI-FUZZY CONTROLLERS FOR A MAGNETIC LEVITATION SYSTEM
  324. Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity
  325. ITERATIVE LEARNING CONTROL APPLICATION TO A 3D CRANE SYSTEM
  326. Tuning of 2-DOF fuzzy PI(D) controllers. Laboratory applications
  327. Control solutions for vehicles with continuously variable transmission
  328. Experiments in fuzzy control of a Magnetic Levitation System laboratory equipment
  329. A Kantian pattern of knowledge, the observation representation
  330. Tensor product-based real-time control of the liquid levels in a three tank system
  331. Stable and optimal fuzzy control of a laboratory Antilock Braking System
  332. Stability analysis of a class of MIMO fuzzy control systems
  333. Implementation and signal processing aspects of Iterative Regression Tuning
  334. Properties of classes, subclasses and objects in an abstraction model
  335. Modeling of a vehicle with continuously variable transmission
  336. Magnetic Levitation System laboratory-based education in control engineering
  337. Model-based fuzzy control solutions for a laboratory Antilock Braking System
  338. Convergence stabilization by parameter tuning in Robust Fixed Point Transformation based adaptive control of underactuated MIMO systems
  339. New results in modelling derived from Bayesian filtering
  340. Takagi-Sugeno fuzzy controller for a magnetic levitation system laboratory equipment
  341. Modeling and control aspects of long distance telesurgical applications
  342. On the errors-in-variables extended Kalman filter
  343. nDSP: A platform for audiophile software audio processing
  344. Modern Control Solutions with Applications in Mechatronic Systems
  345. Experiments in Iterative Feedback tuning for level control of three-tank system
  346. Double inverted pendulum control by linear quadratic regulator and reinforcement learning
  347. A new pattern of knowledge based on experimenting the causality relation
  348. Generic two-degree-of-freedom linear and fuzzy controllers for integral processes
  349. Fuzzy Logic Control System Stability Analysis Based on Lyapunov’s Direct Method
  350. Characteristics of a new abstraction model
  351. Model predictive control solutions for an electromagnetic actuator
  352. Iterative Learning Control experimental results for inverted pendulum crane mode control
  353. Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems
  354. Software tool for power transfer distribution factors (PTDF) computing within the power systems
  355. Signal processing aspects in state feedback control based on Iterative Feedback Tuning
  356. Nonlinear and linearized models and low-cost control solution for an electromagnetic actuator
  357. New experimental setups for audio signal processing
  358. Multiagent architecture applied in decentralized real-time urban road traffic control
  359. Iterative Feedback Tuning in MIMO systems. Signal processing and application
  360. An SVD based modification of the Adaptive Inverse Dynamics Controller
  361. Modeling derived from Bayesian filtering: Analysis of estimation process
  362. On the design of an obstacle avoiding trajectory: Method and simulation
  363. Stable design of fuzzy controllers for robotic telemanipulation applications
  364. Points of View on Building an Intelligent Robot
  365. Model-Based Design Issues in Fuzzy Logic Control
  366. Iterative Feedback Tuning in Linear and Fuzzy Control Systems
  367. ITERATIVE FEEDBACK TUNING APPROACH TO A CLASS OF STATE FEEDBACK-CONTROLLED SERVO SYSTEMS
  368. Gain-Scheduling and Iterative Feedback Tuning of PI Controllers for Longitudinal Slip Control
  369. Iterative Learning-based fuzzy Control system
  370. Fuzzy Control System Performance Enhancement by Iterative Learning Control
  371. Pole placement approaches for linear and fuzzy systems
  372. Linear and fuzzy control solutions for a laboratory Anti-lock Braking System
  373. Stable Iterative Feedback Tuning-based design of Takagi-Sugeno PI-fuzzy controllers
  374. Experimental validation of Iterative Feedback Tuning solutions for inverted pendulum crane mode control
  375. Using Plausible Reasoning in Modular Robots Kinematics
  376. Stable Fuzzy Control Systems with Iterative Feedback Tuning
  377. Model Based Concept for Higher Education on the Way Towards Highly Integrated Solutions in Computer Systems
  378. Design and Experiments for a Class of Fuzzy Controlled Servo Systems
  379. On the combination of tensor product and fuzzy models
  380. Linear and fuzzy control solutions for tape drives
  381. PI-Fuzzy controllers for integral plants to ensure robust stability
  382. Hints in Low Cost Solutions for Networked Control Systems
  383. Lorenz System Stabilization Using Fuzzy Controllers
  384. Optimization Aspects in a Class of Fuzzy Controlled Servosystems
  385. Iterative Feedback Tuning Approach to Development of PI-Fuzzy Controllers
  386. Fuzzy Controllers With Maximum Sensitivity for Servosystems
  387. Two-Degree-Of-Freedom Fuzzy Control in Decentralized Trajectory Tracking
  388. Problem Setting and Modeling in Vehicles and Pedestrians Traffic Control Using Sensor Networks
  389. Object Description Based Processes for Higher Education in Global Computer Networks
  390. Iterative Learning Control Approach to Fuzzy Control Systems Development
  391. Fuzzy Control Systems Dedicated to Electro-Hydraulic Servo-Systems. IFT Techniques and Sensitivity Analysis
  392. Delta Domain Design of Low-Cost Fuzzy Controlled Servosystems
  393. Development Method for Low Cost Fuzzy Controlled Servosystems
  394. Genetic Iterative Feedback Tuning (GIFT) Method for Fuzzy Control System Development
  395. Fuzzy Control Solution for a Class of Tricycle Mobile Robots
  396. PI and PID controllers tuning for integral-type servo systems to ensure robust stability and controller robustness
  397. Control solutions in mechatronics systems
  398. On Some Low-Cost Tracking Controllers for Mobile Robots
  399. Development of Fuzzy Controllers with Dynamics Regarding Stability Conditions and Sensitivity Analysis
  400. Optimisation criteria in development of fuzzy controllers with dynamics
  401. Sensitivity Analysis of a Class of Fuzzy Controlled Mobile Robots
  402. Fuzzy Controllers with Dynamics, a Systematic Design Approach
  403. PI predictive fuzzy controllers for electrical drive speed control: methods and software for stable development
  404. Points of View in Controller Design by Means of Extended Symmetrical Optimum Method
  405. Development of fuzzy controllers with non-homogeneous dynamics for integral-type plants
  406. Multiobjective Optimisation Criteria in Development of Fuzzy Controllers with Dynamics
  407. On some Low Cost Fuzzy Control Solutions for Third-Order Integral Actuators
  408. Robustness Analysis of a Class of Fuzzy Control Systems
  409. State Space Approach to the Stability Analysis of a Class of Fuzzy Control Systems meant for Third-Order Plants
  410. Stability analysis and development of a class of fuzzy control systems
  411. Cross-Optimization Aspects Concerning the Extended Symmetrical Optimum Method
  412. An extension of tuning relations after symmetrical optimum method for PI and PID controllers
  413. Center Manifold Theory Approach to the Stability Analysis of Fuzzy Control Systems
  414. On Some Predictive and Adaptive Fuzzy Controllers Based on Ensuring the Maximum Phase Reserve
  415. Fuzzy controllers for tire slip control in anti-lock braking systems
  416. Sliding mode navigation control in intelligent space
  417. Development methods of fuzzy controllers with dynamics for low order benchmarks (electrical drives)
  418. Fuzzy Control Solution for Hydro Turbine Generators