状态信息不完全非线性系统的有限视界最优控制实时算法

Ahmed Khamis, D. Subbaram Naidu
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引用次数: 5

摘要

本文讨论了一种新的用于状态信息不完全的有限视界非线性调节器问题的高效实时技术。该技术基于卡尔曼滤波算法与有限视界微分状态相关里卡蒂方程(SDRE)技术的结合。该技术采用有限水平差分SDRE算法求解非线性系统的最优控制问题,使得该技术适用于大范围的工作点。以一个非线性机械起重机为例,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique
This paper discusses a novel efficient real-time technique used for finite-horizon nonlinear regulator problems with incomplete state information. This technique based on integrating the Kalman filter algorithm and the finite-horizon differential State Dependent Riccati Equation (SDRE) technique. In this technique, the optimal control problem of the nonlinear system is solved by using finite-horizon differential SDRE algorithm, which makes this technique effective for a wide range of operating points. A nonlinear mechanical crane is given to show the effectiveness of the proposed technique.
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