主要论著目录

《Application of RBF Neural Network to Simplify the Potential Based Optimization》

日期:2016-05-13

 

作者:Zhang K, Feng C

摘要:"A policy iteration approach to optimal control problems for a class of nonlinear stochastic dynamic system is introduced. Some parameters and nonlinearities of the system are not required to be known a-priori. An optimality equation is developed based on performance potential. The potential can be estimated by a sample path, and then it is approximated by RBF neural network. As a result, an on-line algorithm is proposed by using a sample path of the given control system."

来源(出处):Advances in Neural Networks–ISNN 2007. Springer Berlin Heidelberg

发表日期:2007年

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详细

《Application of RBF Neural Network to Simplify the Potential Based Optimization》

日期:2016-05-13

 

作者:Zhang K, Feng C

摘要:"A policy iteration approach to optimal control problems for a class of nonlinear stochastic dynamic system is introduced. Some parameters and nonlinearities of the system are not required to be known a-priori. An optimality equation is developed based on performance potential. The potential can be estimated by a sample path, and then it is approximated by RBF neural network. As a result, an on-line algorithm is proposed by using a sample path of the given control system."

来源(出处):Advances in Neural Networks–ISNN 2007. Springer Berlin Heidelberg

发表日期:2007年