基于启发式动态规划的离散仿射非线性系统H∞控制

2012 Third International Conference on Intelligent Control and Information Processing Pub Date : 2012-07-15 DOI:10.1109/ICICIP.2012.6391430

Hongliang Li, Derong Liu, Ding Wang

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引用次数: 0

摘要

本文研究具有已知动力学的离散仿射非线性系统的H∞控制问题。推导了一种迭代启发式动态规划算法，并给出了收敛性分析。用三个神经网络分别逼近控制策略、干扰策略和值函数。仿真实例验证了该方案的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Heuristic dynamic programming-based H∞ control of discrete-time affine nonlinear systems

In this paper, we solve the H∞ control problems for discrete-time affine nonlinear systems with known dynamics. An iterative heuristic dynamic programming algorithm is derived and the convergence analysis is provided. Three neural networks are used to approximate the control policy, the disturbance policy, and the value function, respectively. A simulation example is presented to demonstrate the effectiveness of the proposed scheme.

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2012 Third International Conference on Intelligent Control and Information Processing

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