A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Networked H∞ control of linear systems with state quantization
Information Sciences: an International Journal
Quantized output feedback control for networked control systems
Information Sciences: an International Journal
Brief paper: On the model-based approach to nonlinear networked control systems
Automatica (Journal of IFAC)
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
IEEE Transactions on Fuzzy Systems
Communication-delay-distribution-dependent networked control for a class of T-S fuzzy systems
IEEE Transactions on Fuzzy Systems
Robust H∞ control for nonlinear systems over network: A piecewise analysis method
Fuzzy Sets and Systems
Networked H∞ filtering for linear discrete-time systems
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
H∞ quantized control for nonlinear networked control systems
Fuzzy Sets and Systems
Information Sciences: an International Journal
Technical communique: On event design in event-triggered feedback systems
Automatica (Journal of IFAC)
Robust Control for Networked Systems With Random Packet Losses
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
IEEE Transactions on Fuzzy Systems
H∞ fuzzy output feedback control design for nonlinear systems: an LMI approach
IEEE Transactions on Fuzzy Systems
Fault Detection for Uncertain Fuzzy Systems: An LMI Approach
IEEE Transactions on Fuzzy Systems
On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems
IEEE Transactions on Fuzzy Systems
Model Approximation for Discrete-Time State-Delay Systems in the T–S Fuzzy Framework
IEEE Transactions on Fuzzy Systems
New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI
Automatica (Journal of IFAC)
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This paper is concerned with the event-triggered H"~ control for a nonlinear networked control system. A new event-triggered transmission scheme is first proposed to reduce the network bandwidth utilization. Under this scheme, the nonlinear networked control system is formulated as a Takagi-Sugeno fuzzy threshold-error-dependent system with asynchronous normalized membership functions. Then, by using the deviation bounds of asynchronous normalized membership functions, some sufficient conditions on the existence of the parameters of the event-triggered transmission scheme and the fuzzy controller are derived such that the Takagi-Sugeno fuzzy threshold-error-dependent system with asynchronous normalized membership functions is asymptotically stable with a prescribed H"~ attenuation level. It is shown that the proposed design method can reduce the conservativeness of some existing results. Finally, two examples are given to demonstrate the effectiveness of the proposed design method and the event-triggered transmission scheme.