Multiple actor-critic structures for continuous-time optimal control using input-output data

IEEE Transactions on Neural Networks and Learning Systems
Ruizhuo SongDan Levine

Abstract

In industrial process control, there may be multiple performance objectives, depending on salient features of the input-output data. Aiming at this situation, this paper proposes multiple actor-critic structures to obtain the optimal control via input-output data for unknown nonlinear systems. The shunting inhibitory artificial neural network (SIANN) is used to classify the input-output data into one of several categories. Different performance measure functions may be defined for disparate categories. The approximate dynamic programming algorithm, which contains model module, critic network, and action network, is used to establish the optimal control in each category. A recurrent neural network (RNN) model is used to reconstruct the unknown system dynamics using input-output data. NNs are used to approximate the critic and action networks, respectively. It is proven that the model error and the closed unknown system are uniformly ultimately bounded. Simulation results demonstrate the performance of the proposed optimal control scheme for the unknown nonlinear system.

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Citations

Nov 10, 2015·IEEE Transactions on Cybernetics·Qinglai WeiHanquan Lin
May 3, 2015·IEEE Transactions on Cybernetics·Ruizhuo SongHuaguang Zhang
Mar 2, 2016·IEEE Transactions on Neural Networks and Learning Systems·Shengli XieYan Zhang
Feb 11, 2016·IEEE Transactions on Neural Networks and Learning Systems·Chaoxu MuHaibo He
Jul 23, 2016·IEEE Transactions on Neural Networks and Learning Systems·Ruizhuo SongQinglai Wei
Apr 20, 2016·IEEE Transactions on Cybernetics·Qinglai WeiRuizhuo Song
Feb 1, 2017·IEEE Transactions on Neural Networks and Learning Systems·Qinglai WeiRuizhuo Song
Apr 1, 2017·IEEE Transactions on Neural Networks and Learning Systems·Huaguang ZhangHe Jiang
Apr 1, 2017·IEEE Transactions on Neural Networks and Learning Systems·Lei LiuHuaguang Zhang
Mar 10, 2017·IEEE Transactions on Neural Networks and Learning Systems·Behzad TalaeiJohn Singler
Apr 1, 2017·IEEE Transactions on Neural Networks and Learning Systems·Qinglai WeiRuizhuo Song
Jul 23, 2016·IEEE Transactions on Cybernetics·Qinglai WeiRuizhuo Song
Sep 15, 2017·IEEE Transactions on Neural Networks and Learning Systems·Yurong LiuFuad E Alsaadi
Sep 4, 2017·IEEE Transactions on Neural Networks and Learning Systems·Behzad TalaeiJohn Singler
May 31, 2018·Neural Networks : the Official Journal of the International Neural Network Society·Xiong Yang, Haibo He

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