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Adaptive Optimal Control Method for Nonlinear Systems Based on Variable Error

A nonlinear system, optimal control technology, applied in the direction of 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: 2021-07-13
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • 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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  • Adaptive Optimal Control Method for Nonlinear Systems Based on Variable Error
  • Adaptive Optimal Control Method for Nonlinear Systems Based on Variable Error
  • Adaptive Optimal Control Method for Nonlinear Systems Based on Variable Error

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Embodiment Construction

[0041] In order to make the objects, technical solutions, and advantages of the present invention, the present invention will be further detailed in connection with the accompanying drawings.

[0042] The present invention discloses a nonlinear adaptive control method of variable error, which belongs to the field of optimal control. In the existing optimal control method, adaptive dynamic planning is widely used in nonlinear systems. Traditional adaptive dynamic planning is generally divided into two steps: strategic index function evaluation processes and policy update processes, which requires every performance indicator function and policy control function to be accurate, but often in actual computing applications achieve.

[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 N-dimensional system state vector, Is the system control vector, x 0 Is the initial state of the system, f (x k U k ) Is the ...

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Abstract

A non-linear adaptive control method with variable error, which approximates the performance index function and the policy control function by introducing a suitable approximation error, and makes the index function converge eventually. The present invention combines the neural network. Due to the good approximation performance of the neural network, the final performance index function can converge to a neighborhood of the optimal evaluation function by simultaneously adjusting the approximation errors of the evaluation network and the strategy network.

Description

[0001] The present invention is an application number to provide a score application for a disclosure of China's invention, the present invention, and the present invention is approved in May 25, 2015, and the present invention is a appended claims. Technical field [0002] The present invention relates to the field of intelligent control technology, and more particularly to a nonlinear system adaptive optimal control method based on variable error. Background technique [0003] There is a large number of complex systems in today's social life and industrial sectors, such as electricity systems, transportation systems, manufacturing systems, chemical process systems, communication network systems, etc., need to be controlled under limited resource conditions under limited resource conditions. The optimal control is to enable the performance index of the control system to optimize the basic conditions and integrated methods, which can be summarized as: a controlled kinetic system o...

Claims

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Application Information

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Patent Type & Authority Patents(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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