Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation
Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation
复制标题
使用神经网络的非线性自适应控制：使用同步扰动梯度近似的平滑形式进行估计
DOI：
10.1109/acc.1994.735021
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
J. Cristion
中科院分区：
文献类型：
--
作者：
J. Spall;J. Cristion
这是一篇完整的跨学科论文的浓缩版本，涵盖控制统计、神经网络和优化领域。本文只考虑以下两个问题：1)考虑具有未知控制方程的一般动态系统的自适应控制器的设计问题，并给出这类问题的解；2)介绍一种基于迭代平滑梯度逼近的同时摄动随机逼近的改进，并说明这种改进在基于神经网络的控制问题上的应用。
This is a condensed version of a full length interdisciplinary paper spanning the fields of control statistics, neural networks and optimisation. In this paper only the following two topics are considered: 1) consider the problem of developing adaptive controllers for general dynamic systems with unknown governing equations and develop a solution for an important class of such problems; and 2) introduce a modification to simultaneous perturbation stochastic approximation that is based on smoothing gradient approximations across iterations and illustrate this modification on the neural net based control problem.