Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead-zone input |
| |
Authors: | Huanqing Wang Chong Lin |
| |
Affiliation: | 1. Institute of Complexity Science, Qingdao University, Qingdao 266071, Shandong, P. R. China;2. School of Mathematics and Physics, Bohai University, Jinzhou 121000, Liaoning, P. R. China |
| |
Abstract: | This paper is concerned with the problem of adaptive fuzzy output tracking control for a class of nonlinear pure-feedback stochastic systems with unknown dead-zone. Fuzzy logic systems in Mamdani type are used to approximate the unknown nonlinearities, then a novel adaptive fuzzy tracking controller is designed by using backstepping technique. The control scheme is systematically derived without requiring any information on the boundedness of dead-zone parameters (slopes and break-points) and the repeated differentiation of the virtual control signals. The proposed adaptive fuzzy controller guarantees that all the signals in the closed-loop system are bounded in probability and the system output eventually converges to a small neighbourhood of the desired reference signal in the sense of mean quartic value. Simulation results further illustrate the effectiveness of the proposed control scheme. |
| |
Keywords: | pure-feedback nonlinear stochastic systems adaptive fuzzy control dead-zone backstepping |
|
|