Journal ArticleDOI
A novel approach to output feedback control of fuzzy stochastic systems
TLDR
This paper investigates the problem of Hankel-norm output feedback controller design for a class of T-S fuzzy stochastic systems and proposes the fuzzy-basis-dependent Lyapunov function approach and the conversion on theHankel- norm controller parameters.About:
This article is published in Automatica.The article was published on 2014-12-01. It has received 229 citations till now. The article focuses on the topics: Nonlinear control & Control theory.read more
Citations
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Journal ArticleDOI
Observer-Based Adaptive Fuzzy Fault-Tolerant Optimal Control for SISO Nonlinear Systems
TL;DR: A novel adaptive fuzzy fault-tolerant optimal control scheme is developed for a class of single-input and single-output nonlinear systems in strict feedback form and the stability of the closed-loop system is proved by using Lyapunov stability theory.
Journal ArticleDOI
An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies
TL;DR: A novel event-triggered scheme is proposed to improve the transmission efficiency at each sampling instance and sufficient conditions for the resulting fuzzy Markovian jump systems are established in terms of coupled linear matrix inequalities.
Journal ArticleDOI
Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints
TL;DR: A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of the control systems and by the BLF and combining a backstepping design technique, an adding a power integrator, and a fuzzy control, the proposed approach can control high- order uncertain nonlinear system with full- state constraints.
Journal ArticleDOI
Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems
TL;DR: A new adaptive approximation-based tracking controller design approach is developed for a class of uncertain nonlinear switched lower-triangular systems with an output constraint using neural networks (NNs) by introducing a novel barrier Lyapunov function (BLF).
Journal ArticleDOI
Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multiagent Systems With Actuator Faults
TL;DR: This paper investigates the consensus tracking problem of second-order nonlinear multiagent systems (MAS) with disturbance and actuator fault by the sliding mode control method and develops a continuous sliding mode tracking protocol with an adaptive mechanism.
References
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Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Book
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Kazuo Tanaka,Hua O. Wang +1 more
TL;DR: Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.
Journal ArticleDOI
Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains
TL;DR: This note investigates the output feedback stabilization of networked control systems (NCSs) through the design of a two-mode-dependent controller that depends on not only the current S-C delay but also the most recent available C-A delay at the controller node.
Journal ArticleDOI
A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
TL;DR: Sufficient conditions for the obtained filtering error system are proposed by applying an input-output approach and a two-term approximation method, which is employed to approximate the time-varying delay.
Journal ArticleDOI
Robust Observer Design for Unknown Inputs Takagi–Sugeno Models
TL;DR: This paper deals with the observer design for Takagi-Sugeno (T-S) fuzzy models subject to unknown inputs and disturbance affecting both states and outputs of the system.
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Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more