Approximation-based adaptive fuzzy control for a class of non-strict-feedback stochastic nonlinear systems |
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Authors: | HuanQing Wang Bing Chen Chong Lin |
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Affiliation: | 1. School of Mathematics and Physics, Bohai University, Jinzhou, 121000, China 2. Institute of Complexity Science, Qingdao University, Qingdao, 266071, China
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Abstract: | This paper considers the problem of adaptive fuzzy control of a class of single-input/single-output (SISO) nonlinear stochastic systems in non-strict-feedback form. Fuzzy logic systems are used to approximate the uncertain nonlinearities and backstepping technique is utilized to construct an adaptive fuzzy controller. The proposed controller guarantees that all the signals in the resulting closed-loop system are bounded in probability. The main contribution of this note lies in providing a control strategy for a class of nonlinear systems in nonstrict-feedback form. Simulation result is used to test the effectiveness of the suggested approach. |
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Keywords: | stochastic nonlinear systems in non-strict-feedback form adaptive control fuzzy control backstepping approach |
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