Fuzzy Partial State Feedback Control of Discrete Nonlinear Systems with Unknown Time-Delay
Fuzzy Optimization and Decision Making
Affine TS-model-based fuzzy regulating/servo control design
Fuzzy Sets and Systems
Technical communique: Observer-based H∞ fuzzy control design for T-S fuzzy systems with state delays
Automatica (Journal of IFAC)
Brief paper: An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems
Automatica (Journal of IFAC)
Relaxed conditions in tracking control design for a TS fuzzy model
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Design of T-S Fuzzy Model Based on PSODE Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Information Sciences: an International Journal
A Visual Servoing System for the Torch Alignment to Initial Welding Position
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Fuzzy H∞ tracking control for nonlinear networked control systems in T-S fuzzy model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Robust output regulation of T-S fuzzy systems with multiple time-varying state and input delays
IEEE Transactions on Fuzzy Systems
H∞ control for fuzzy singularly perturbed systems
Fuzzy Sets and Systems
High-order fuzzy sliding manifold control
Fuzzy Sets and Systems
An improvement on observer-based H∞control of fuzzy systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Fuzzy model-based servo and model following control for nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models
International Journal of Applied Mathematics and Computer Science
IEEE Transactions on Fuzzy Systems
Fuzzy sliding mode tracking control for a class of uncertain nonlinear systems
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
IEEE Transactions on Fuzzy Systems
Hybrid feedback stabilization of fuzzy nonlinear systems
Journal of Control Science and Engineering
Robust fuzzy tracking control of nonlinear systems with uncertainty via t-s fuzzy model
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Expert Systems with Applications: An International Journal
Fuzzy h-inf control of flexible joint robot
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
Fuzzy tracking control based on H∞performance for nonlinear systems
WSEAS Transactions on Systems and Control
Automatica (Journal of IFAC)
New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI
Automatica (Journal of IFAC)
H∞ output tracking fuzzy control for nonlinear systems with time-varying delay
Applied Soft Computing
l2-l∞ filtering for multirate nonlinear sampled-data systems using T-S fuzzy models
Digital Signal Processing
State feedback tracking control for indirect field-oriented induction motor using fuzzy approach
International Journal of Automation and Computing
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Output tracking H∞ fuzzy control of nonlinear time-delay systems via Fuzzy Performance Evaluator
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This study introduces a fuzzy control design method for nonlinear systems with a guaranteed H∞ model reference tracking performance. First, the Takagi and Sugeno (TS) fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based fuzzy controller is developed to reduce the tracking error as small as possible for all bounded reference inputs. The advantage of proposed tracking control design is that only a simple fuzzy controller is used in our approach without feedback linearization technique and complicated adaptive scheme. By the proposed method, the fuzzy tracking control design problem is parameterized in terms of a linear matrix inequality problem (LMIP). The LMIP can be solved very efficiently using the convex optimization techniques. Simulation example is given to illustrate the design procedures and tracking performance of the proposed method