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首页> 外文会议>International conference on electronic measurement instruments;ICEMI' 2009 >Fuzzy based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-feedback Form
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Fuzzy based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-feedback Form

机译：一类具有严格反馈形式的不确定非线性系统的基于模糊的自适应动态表面控制

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摘要

This paper provides a simplified design scheme for the control of a class of nonlinear systems in strict-feedback form by incorporating dynamic surface control (DSC) method into an adaptive fuzzy logic system. The DSC method overcomes the problem of "explosion of complexity" in the traditional backstepping design. Fuzzy logic system (FLS) is used to approximate the nonlinear uncertainty. Adaptation law adjusts those fuzzy parameters online to minimize the approximation error. This new scheme not only eliminates the problem of explosion of complexity in backstepping scheme,but also guarantees the semiglobal uniform boundedness of the solution of the closed-loop system,and makes the tracking error converge to a small residual set. Simulation results illustrate that the new scheme is effective.
机译：通过将动态表面控制（DSC）方法结合到自适应模糊逻辑系统中，本文提供了一种严格的反馈形式的非线性系统控制的简化设计方案。 DSC方法克服了传统Backstepping设计中的“复杂性爆炸”问题。模糊逻辑系统（FLS）用于近似非线性不确定性。自适应定律在线调整那些模糊参数，以使近似误差最小。该新方案不仅消除了后推法复杂性激增的问题，而且还保证了闭环系统解的半全局一致有界性，并使跟踪误差收敛到较小的残差集。仿真结果表明，该方案是有效的。

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