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Fuzzy control systems: Past, present and future
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
A survey on fuzzy control for mechatronics applications
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …
engineering processes. Over the years, research on fuzzy control systems has continuously …
Observer-based sliding mode control for networked fuzzy singularly perturbed systems under weighted try-once-discard protocol
In this article, the sliding mode control issue is investigated for a class of discrete-time
Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based …
Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based …
Finite-time event-triggered stabilization for discrete-time fuzzy Markov jump singularly perturbed systems
The finite-time event-triggered stabilization is studied for a class of discrete-time nonlinear
Markov jump singularly perturbed models with partially unknown transition probabilities …
Markov jump singularly perturbed models with partially unknown transition probabilities …
Synchronization for Fuzzy Markov Jump Chaotic Systems With Piecewise-Constant Transition Probabilities Subject to PDT Switching Rule
This article investigates the nonfragile synchronization issue for a class of discrete-time
Takagi–Sugeno (T–S) fuzzy Markov jump systems. With regard to the T–S fuzzy model, a …
Takagi–Sugeno (T–S) fuzzy Markov jump systems. With regard to the T–S fuzzy model, a …
Adaptive event‐triggered robust H∞ control for Takagi–Sugeno fuzzy networked Markov jump systems with time‐varying delay
This paper considers an adaptive event‐triggered robust H∞ control for the Takagi–Sugeno
(T‐S) fuzzy under the networked Markov jump systems (NMJSs) with time‐varying delay …
(T‐S) fuzzy under the networked Markov jump systems (NMJSs) with time‐varying delay …
[HTML][HTML] Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges
With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …
polytopic LPV approaches have become popular in intelligent automotive control systems …
Adaptive sliding mode fault-tolerant fuzzy tracking control with application to unmanned marine vehicles
This article presents a fault-tolerant tracking control strategy for Takagi–Sugeno fuzzy model-
based nonlinear systems which combines integral sliding mode control with adaptive control …
based nonlinear systems which combines integral sliding mode control with adaptive control …
Network-based T–S fuzzy dynamic positioning controller design for unmanned marine vehicles
This paper is concerned with a Takagi-Sugeno (TS) fuzzy dynamic positioning controller
design for an unmanned marine vehicle (UMV) in network environments. Network-based TS …
design for an unmanned marine vehicle (UMV) in network environments. Network-based TS …
Linear parameter-varying and time-delay systems
This book provides an introduction to the analysis and control of linear parametervarying
systems, time-delay systems, and their interactions. The purpose is to give the readers some …
systems, time-delay systems, and their interactions. The purpose is to give the readers some …