Nonlinear system adaptive optimal control method based on variable error

A nonlinear system and optimal control technology, applied in adaptive control, general control system, control/regulation system, etc., can solve problems such as unknown dynamic characteristics, model uncertainty, difficult mathematical models, etc.

Active Publication Date: 2020-06-19
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

These complex systems usually have high nonlinearity, unknown dynamic characteristics, model uncertainty, etc., making it difficult to establish accurate mathematical models

Method used

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  • Nonlinear system adaptive optimal control method based on variable error
  • Nonlinear system adaptive optimal control method based on variable error
  • Nonlinear system adaptive optimal control method based on variable error

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0042] The invention discloses a variable error nonlinear self-adaptive control method, which belongs to the optimal control field. Among the existing optimal control methods, adaptive dynamic programming is widely used in nonlinear systems. Traditional adaptive dynamic programming is generally divided into two steps: the strategy performance index function evaluation process and the strategy update process. It requires that each performance index function and policy control function can be accurately obtained, but it is often not possible in practical computing applications. accomplish.

[0043] Specifically, the nonlinear system studied by the present invention is x k+1 =F(x k , u k ), k=0, 1, 2, .., where is the ...

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Abstract

The invention discloses a nonlinear adaptive control method of a variable error, which approximates a performance index function and a strategy control function by introducing an appropriate approximate error, and enables the index function to finally converge consistently. According to the method, a neural network is combined, and due to the good approximation performance of the neural network, the final performance index function can be converged to one neighborhood of the optimal evaluation function by adjusting the approximation errors of am evaluation network and a strategy network at thesame time.

Description

[0001] The present invention is a divisional application of a Chinese invention patent application with the application number 201510272090.4, the filing date is May 25, 2015, and the title of the invention is "A Non-linear System Adaptive Optimal Control Method Based on Variable Error". technical field [0002] The invention relates to the technical field of intelligent control, in particular to an adaptive optimal control method for nonlinear systems based on variable errors. Background technique [0003] In today's social life and industrial fields, there are a large number of complex systems, such as power systems, transportation systems, manufacturing systems, chemical process systems, communication network systems, etc., all of which require the controlled system to complete the control objectives under limited resource conditions. Optimal control is the basic condition and comprehensive method to optimize the performance index of the control system, which can be summar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 刘德荣魏庆来林汉权李超
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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