Adaptive fuzzy finite-time quantized control for stochastic nonlinear systems with full state constraints |
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Authors: | Jun Zhang Shaocheng Tong Shuai Sui |
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Affiliation: | College of Science, Liaoning University of Technology, Jinzhou, P. R. China |
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Abstract: | This article studies the adaptive fuzzy finite-time quantized control problem of stochastic nonlinear nonstrict-feedback systems with full state constraints. During the control design process, fuzzy logic systems are used to identify the unknown nonlinear functions, integral barrier Lyapunov functions are employed to solve the state constrained problem. In the frame of backstepping design, an adaptive fuzzy finite-time quantized control scheme is developed. Based on the stochastic finite-time Lyapunov stability theory, it can be guaranteed that the closed-loop system is semiglobal finite-time stable in probability, and the tracking errors converge to a small neighborhood of the origin in a finite time. Finally, two simulation examples are provided to testify the effectiveness of the developed control scheme. |
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Keywords: | integral barrier Lyapunov functions quantized control stochastic finite-time stability |
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