首页> 外文会议>2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)论文集 >Robust Controller Design for A Class of Complex System Based on Two-Step Approximation with Fuzzy Logical System
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Robust Controller Design for A Class of Complex System Based on Two-Step Approximation with Fuzzy Logical System

机译:基于模糊逻辑系统的两步逼近的一类复杂系统鲁棒控制器设计

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Based on fuzzy logical system, a novel nonlinear robust adaptive control scheme is presented for a class of complex systems with uncertainties. The two-step approximation method is proposed to approximate uncertainties with fuzzy logical system, which is able to reduce the complexity of designing fuzzy logical system and circumvent the curse of dimensionality problem to a certain extent. A robust adaptive controller is designed using the Lyapunov theory, which is able to ensure both the states and the parameter estimate errors uniformly ultimately bounded (UUB). Our method is verified effectively by applying to inverted pendulum system.
机译:基于模糊逻辑系统,针对一类不确定的复杂系统,提出了一种新颖的非线性鲁棒自适应控制方案。提出了一种两步逼近的方法,用模糊逻辑系统对不确定性进行逼近,可以在一定程度上降低设计模糊逻辑系统的复杂度,避免出现维数问题。使用李雅普诺夫理论设计了一种鲁棒的自适应控制器,该控制器能够确保状态和参数估计误差均匀地最终有界(UUB)。通过应用于倒立摆系统,我们的方法得到了有效验证。

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