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基于ε-ADP的一类离散非线性系统最优跟踪控制
  • ISSN号：1001-7445
  • 期刊名称：《广西大学学报：自然科学版》
  • 时间：0
  • 分类：TP183[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]广西大学 电气工程学院,广西 南宁,530004
  • 相关基金：国家自然科学基金重点项目(61034002);广西自然科学基金资助项目(2011GXNSFC018017);广西理工科学实验中心重点项目(LGZX201106)
作者： 林小峰[1], 曹怒云[1], 宋绍剑[1]
关键词： ε-自适应动态规划(ε-ADP), 跟踪控制, 最优控制, 神经网络, ε-adaptive, dynamic, PROGRAMMING, (ε-ADP), tracking control, optimal control, neural network
中文摘要：

针对实际工业常见的定点跟踪控制问题，通过数学变换，将原系统最优跟踪控制问题转化为新系统最优调节问题，以跟踪误差作为新系统的状态量，引入ε-自适应动态规划算法（ε-ADP）求解HJB方程，并以两个BP神经网络分别用于近似性能指标函数和最优控制，从而得到ε-最优跟踪控制。仿真实验表明，所设计的控制器可以在有限时间内将状态跟踪到目标值，并使得性能指标函数近似最优。

英文摘要：

In order to deal with the common fix-point tracking control problems in actual industrial systems, a mathematical transformation is developed to change the original system optimal tracking control problem to an optimal regulator problem of a new system. The state variables of the new sys-tem are the tracking error. ε-adaptive dynamic programming （ε-ADP） is used to solve HJB equation while two BP neural networks are used to approximate the performance index function and optimal control. Thus ε-optimal tracking control is obtained. Simulation results show that the controller de-signed can track a state to the target and make the performance index function converges to optimal.

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期刊信息
  • 《广西大学学报：自然科学版》
  • 中国科技核心期刊
  • 主管单位:广西大学
  • 主办单位:广西大学
  • 主编：陈保善
  • 地址：广西南宁市大学路100号广西大学西校区
  • 邮编：530005
  • 邮箱：gxuzrb@gxu.edu.cn
  • 电话：0771-3235713 3232390
  • 国际标准刊号：ISSN：1001-7445
  • 国内统一刊号：ISSN：45-1071/N
  • 邮发代号:
  • 获奖情况:
  • 全国高校自然科学优秀学报,广西优秀科技期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘（网络版）,德国数学文摘,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:9092