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LMI-based robust stability analysis for fuzzy feedback linearization regulators with its applications

机译:基于LMI的模糊反馈线性化调节器鲁棒稳定性分析及其应用

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摘要

In order to cope with parametric uncertainties of,= nonlinear systems, a numerical analysis method of a robust feedback linearization control scheme based on fuzzy models is proposed. The fuzzy feedback linearization control scheme ensures that the control operates stably under bounded parametric uncertainties. For the system with known uncertainty bounds, linear matrix inequality based robust stability condition is derived and a robust fuzzy feedback linearization regulators can be designed by choosing the control parameters satisfying the inequalities which give sufficient conditions for the closed loop system to be stable. To verify the validity and effectiveness of the designed stability analysis methods, the suggested analysis techniques are applied to a balancing control of inverted pendulum systems. (C) 2003 Elsevier Science Inc. All rights reserved. [References: 18]
机译:为了解决非线性系统的参数不确定性,提出了一种基于模糊模型的鲁棒反馈线性化控制方案的数值分析方法。模糊反馈线性化控制方案可确保控制在有界参数不确定性下稳定运行。对于不确定度范围已知的系统,推导了基于线性矩阵不等式的鲁棒稳定性条件,可以通过选择满足不等式的控制参数来设计鲁棒模糊反馈线性化调节器,从而为闭环系统稳定提供充分的条件。为了验证所设计的稳定性分析方法的有效性和有效性,将建议的分析技术应用于倒立摆系统的平衡控制。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:18]

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