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首页> 外文期刊>Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on >Robust Adaptive Tracking Control for Nonlinear Systems Based on Bounds of Fuzzy Approximation Parameters
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Robust Adaptive Tracking Control for Nonlinear Systems Based on Bounds of Fuzzy Approximation Parameters

机译:基于模糊近似参数界的非线性系统鲁棒自适应跟踪控制

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摘要

A robust adaptive fuzzy control approach is developed for a class of multi-input-multi-output (MIMO) nonlinear systems with modeling uncertainties and external disturbances by using both the approximation property of the fuzzy logic systems and the backstepping technique. The MIMO systems are composed of interconnected subsystems in the strict-feedback form. The main characteristics of the developed approach are that the online computation burden is alleviated and the robustness to dynamic uncertainties and external disturbances is improved. It is proven that all the signals of the resulting closed-loop system are uniformly bounded and that the tracking errors converge to a small neighborhood around zero. Two simulation experiments are presented to demonstrate the feasibility of the approach developed in this paper.
机译:通过使用模糊逻辑系统的逼近特性和反推技术,针对一类具有建模不确定性和外部干扰的多输入多输出(MIMO)非线性系统,开发了一种鲁棒的自适应模糊控制方法。 MIMO系统由严格反馈形式的互连子系统组成。该方法的主要特点是减轻了在线计算负担,提高了对动态不确定性和外部干扰的鲁棒性。事实证明,所产生的闭环系统的所有信号都是均匀有界的,并且跟踪误差收敛到零附近的小邻域。提出了两个仿真实验,以证明本文开发的方法的可行性。

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