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- Title
TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances.
- Authors
Poongodi, Thangavel; Mishra, Prem Prakash; Lim, Chee Peng; Saravanakumar, Thangavel; Boonsatit, Nattakan; Hammachukiattikul, Porpattama; Rajchakit, Grienggrai
- Abstract
We investigate robust fault-tolerant control pertaining to Takagi–Sugeno (TS) fuzzy nonlinear systems with bounded disturbances, actuator failures, and time delays. A new fault model based on a sampled-data scheme that is able to satisfy certain criteria in relation to actuator fault matrix is introduced. Specifically, we formulate a reliable controller with state feedback, such that the resulting closed-loop-fuzzy system is robust, asymptotically stable, and able to satisfy a prescribed H ∞ performance constraint. Linear matrix inequality (LMI) together with a proper construction of the Lyapunov–Krasovskii functional is leveraged to derive delay-dependent sufficient conditions with respect to the existence of robust H ∞ controller. It is straightforward to obtain the solution by using the MATLAB LMI toolbox. We demonstrate the effectiveness of the control law and less conservativeness of the results through two numerical simulations.
- Subjects
NONLINEAR systems; ROBUST control; LINEAR matrix inequalities; FAULT-tolerant control systems; FUZZY systems; ACTUATORS
- Publication
Computation, 2021, Vol 9, Issue 12, p132
- ISSN
2079-3197
- Publication type
Article
- DOI
10.3390/computation9120132