All Stories

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