TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances.

Autor: Poongodi, Thangavel, Mishra, Prem Prakash, Lim, Chee Peng, Saravanakumar, Thangavel, Boonsatit, Nattakan, Hammachukiattikul, Porpattama, Rajchakit, Grienggrai
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Zdroj: Computation; Dec2021, Vol. 9 Issue 12, p132-132, 1p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index