华中科技大学学报（自然科学版）Issue(9)：41-45,5.DOI:10.13245/j.hust.150908
基于ESN的非线性随机系统对偶自适应控制
Dual adaptive control of nonlinear stochastic systems based on ESN
摘要
Abstract
The dual adaptive control problem was addressed for a class of single‐in‐single‐out (SISO) stochastic ,affine nonlinear ,discrete systems .The nonlinear functions of system model were assumed to be unknown and approximated by the echo state network (ESN) ,which were recurrent neural net‐works with dynamic reservoirs .The parameters of ESN were online adjusted by using the convention‐al Kalman filtering technique .The dual adaptive control law was designed considering an explicit‐type ,suboptimal cost function based on the innovations .The performance of proposed control law was verified by simulations and Monte Carlo analysis .关键词
对偶控制/回声状态网络(ESN)/随机系统/卡尔曼滤波/人工神经网络Key words
dual control/echo state networks (ESN )/stochastic system/Kalman filter/artificial neural network (ANN)分类
信息技术与安全科学引用本文复制引用
曹素平,胡喜珍,周铭..基于ESN的非线性随机系统对偶自适应控制[J].华中科技大学学报（自然科学版）,2015,(9):41-45,5.基金项目
国家自然科学基金资助项目（11104089）． （）
