Robust Fuzzy Adaptive Tracking Control for Nonaffine Stochastic Nonlinear Switching Systems
This paper is concerned with the trajectory tracking control problem of a class of nonaffine stochastic nonlinear switched systems with the nonlower triangular form under arbitrary switching. Fuzzy systems are employed to tackle the problem from packaged unknown nonlinearities, and the backstepping and robust adaptive control techniques are applied to design the controller by adopting the structural characteristics of fuzzy systems and the common Lyapunov function approach. By using Lyapunov stability theory, the semiglobally uniformly ultimate boundness in the fourth-moment of all closed-loop signals is guaranteed, and the system output is ensured to converge to a small neighborhood of the given trajectory. The main advantages of this paper lie in the fact that both the completely nonaffine form and nonlower triangular structure are taken into account for the controlled systems, and the increasing property of whole state functions is removed by using the structural characteristics of fuzzy systems. The developed control method is verified through a numerical example.
|Keywords||Fuzzy systems, robust control theory, stochastic systems|
|Journal||IEEE Transactions on Cybernetics|
Wang, H. (Huanqing), Liu, P, & Niu, B. (Ben). (2017). Robust Fuzzy Adaptive Tracking Control for Nonaffine Stochastic Nonlinear Switching Systems. IEEE Transactions on Cybernetics. doi:10.1109/TCYB.2017.2740841