Intelligent control of uncertain switched nonlinear plants: NFG optimum control of switched fuzzy time-delay systems revisited
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KünyeDimirovski, G. M., Luo, J., Li, H., & Zhao, J. (2016). Intelligent control of uncertain switched nonlinear plants: NFG optimum control of switched fuzzy time-delay systems revisited. In 2016 IEEE 8th International Conference on Intelligent Systems(pp. 510-515). Piscataway, NJ: IEEE. http://dx.doi.org/10.1109/IS.2016.7737470
A solution of intelligent, optimum guaranteed-cost and robust, control for a class of uncertain switched nonlinear systems via switched fuzzy models possessing time delays and uncertainties has been developed. Following the multiple Lyapunov functions approach, a non-fragile state feedback controller and a switching law are designed such that the closed-loop system is asymptotically stable and the guaranteed cost function possesses an upper bound. Then an optimization problem of the non-fragile guaranteed cost control is solved. The considered optimum non-fragile guaranteed-cost control problem asymptotic stability of subsystems is not assumed, nonetheless the overall system is guaranteed asymptotically stable. Numerical and simulation results for an illustrative example are presented to demonstrate the feasibility and effectiveness of the proposed intelligent control design.