A stability theorem for a class of second order nonlinear systems with an application to robotics

M. Grabbe, D. Dawson
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引用次数: 1

Abstract

Optimal control theory is used to generate a feedback control which stabilizes a class of second-order nonlinear systems. Specifically, the Hamilton-Jacobi-Bellman (HJB) equation of dynamic programming is used to show that the control is the solution to a quadratic optimal control problem in which the second-order system serves as a dynamic constraint. The stability result follows from the fact that the solution to the HJB equation serves as a Lyapunov function for the given system. An application of this result to the trajectory tracking of a robot manipulator is given.<>
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一类二阶非线性系统的稳定性定理及其在机器人中的应用
利用最优控制理论生成一类二阶非线性系统的反馈控制。具体来说,利用动态规划的Hamilton-Jacobi-Bellman (HJB)方程表明,该控制是二阶系统作为动态约束的二次最优控制问题的解。稳定性的结果来自于HJB方程的解作为给定系统的李雅普诺夫函数。给出了该结果在机械臂轨迹跟踪中的应用。
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