Lyapunov stability-based control and identification of nonlinear dynamical systems using adaptive dynamic programming
作者: Rajesh KumarSmriti SrivastavaJ. R. P. Gupta
作者单位: 1Netaji Subhas Institute of Technology
刊名: Soft Computing, 2017, Vol.21 (15), pp.4465-4480
来源数据库: Springer Nature Journal
DOI: 10.1007/s00500-017-2500-3
关键词: Adaptive dynamic programmingNonlinear dynamical systemsLyapunov stabilityIdentification and adaptive controlGradient descent principle
英文摘要: This paper presents a novel control and identification scheme based on adaptive dynamic programming for nonlinear dynamical systems. The aim of control in this paper is to make output of the plant to follow the desired reference trajectory. The dynamics of plants are assumed to be unknown, and to tackle the problem of unknown plant’s dynamics, parameter variations and disturbance signal effects, a separate neural network-based identification model is set up which will work in parallel to the plant and the control scheme. Weights update equations of all neural networks present in the proposed scheme are derived using both gradient descent (GD) and Lyapunov stability (LS) criterion methods. Stability proof of LS-based algorithm is also given. Weight update equations derived using LS...
原始语种摘要: This paper presents a novel control and identification scheme based on adaptive dynamic programming for nonlinear dynamical systems. The aim of control in this paper is to make output of the plant to follow the desired reference trajectory. The dynamics of plants are assumed to be unknown, and to tackle the problem of unknown plant’s dynamics, parameter variations and disturbance signal effects, a separate neural network-based identification model is set up which will work in parallel to the plant and the control scheme. Weights update equations of all neural networks present in the proposed scheme are derived using both gradient descent (GD) and Lyapunov stability (LS) criterion methods. Stability proof of LS-based algorithm is also given. Weight update equations derived using LS...
全文获取路径: Springer Nature  (合作)
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影响因子:1.124 (2012)

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关键词翻译
关键词翻译
  • dynamical 动力学的
  • adaptive 适应的
  • nonlinear 非线性的
  • stability 稳定性
  • control 控制
  • unknown 不知道的
  • programming 程序设计
  • trajectory 轨道
  • identification 辨认
  • weight