All Stories

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