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Robotic arm control design using piecewise Lyapunov function: An LMI approach

Ahmed Abdel Hadi, Mohamed I. Hassan, Abdel Latif Elshafei

发表年份
2007
引用次数
2

摘要

In this paper we present a fuzzy output feedback controller. We start by constructing piecewisequadratic Lyapunov functions for stability achievement and designing of state feedback controllers for continuous time fuzzy systems. It is shown that achieving stability and performance, or designing state feedback controllers, can be cast as convex optimization problems involving linear matrix inequalities that can be solved very efficiently. Then the fuzzy observer is designed based on a relaxed condition common Lyapunov function. Each of the observer and controller are designed separately in a two-step procedure. A twolink robot manipulator, which is nonlinear MIMO system, is used to investigate the design.

关键词

Control theory (sociology)Lyapunov functionObserver (physics)Linear matrix inequalityFuzzy control systemConvex optimizationFuzzy logicPiecewiseLyapunov redesignNonlinear system

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