Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
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DOI：
10.1016/j.automatica.2016.05.008
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
Weinan Gao;Yu Jiang;Zhong-Ping Jiang;T. Chai
中科院分区：
文献类型：
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作者：
Weinan Gao;Yu Jiang;Zhong-Ping Jiang;T. Chai
本文研究了具有非线性动态不确定性的连续时间不确定系统的自适应最优输出反馈问题。数据驱动的输出反馈控制策略是通过基于策略迭代和值迭代方法的近似/自适应动态规划（ADP）来开发的。所获得的自适应和最优输出反馈控制器不同于现有文献中的ADP，因为它们是来自采样数据系统理论，并保证是鲁棒的动态不确定性。一个小增益的条件下，整个系统是全局渐近稳定的原点。电力系统的应用程序，以测试所提出的方法的有效性。
This paper studies the adaptive and optimal output-feedback problem for continuous-time uncertain systems with nonlinear dynamic uncertainties. Data-driven output-feedback control policies are developed by approximate/adaptive dynamic programming (ADP) based on both policy iteration and value iteration methods. The obtained adaptive and optimal output-feedback controllers differ from the existing literature on the ADP in that they are derived from sampled-data systems theory and are guaranteed to be robust to dynamic uncertainties. A small-gain condition is given under which the overall system is globally asymptotically stable at the origin. An application to power systems is given to test the effectiveness of the proposed approaches.