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Iterative Learning Control for Discrete-time Stochastic Systems with Quantized Information 被引量:10
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作者 Dong Shen Yun Xu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI 2016年第1期59-67,共9页
An iterative learning control (ILC) algorithm using quantized error information is given in this paper for both linear and nonlinear discrete-time systems with stochastic noises. A logarithmic quantizer is used to gua... An iterative learning control (ILC) algorithm using quantized error information is given in this paper for both linear and nonlinear discrete-time systems with stochastic noises. A logarithmic quantizer is used to guarantee an adaptive improvement in tracking performance. A decreasing learning gain is introduced into the algorithm to suppress the effects of stochastic noises and quantization errors. The input sequence is proved to converge strictly to the optimal input under the given index. Illustrative simulations are given to verify the theoretical analysis. © 2014 Chinese Association of Automation. 展开更多
关键词 ALGORITHMS Digital control systems Discrete time control systems Iterative methods Learning algorithms stochastic control systems stochastic systems
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Stochastic Response Analysis of Piled Offshore Platforms to Earthquake Load 被引量:1
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作者 Zhang, Lifu Luo, Chuanxin 《China Ocean Engineering》 SCIE EI 1993年第2期177-186,共10页
In this paper, using the theory of stochastic analysis of the response to earthquake load, a stochastic analysis method of the response of piled platforms to earthquake load has been established. In the method, the st... In this paper, using the theory of stochastic analysis of the response to earthquake load, a stochastic analysis method of the response of piled platforms to earthquake load has been established. In the method, the strong ground motion is considered as three dimensional stationary white noise process and the pile-soil interaction and water-structure interaction are considered. The stochastic response of a typical platform to earthquake load has been computed with this method and the results compared with those obtained with the response spectrum analysis method. The comparison shows that the stochastic analysis method of the response of piled platforms to earthquake load is suitable for this kind of analysis. 展开更多
关键词 Dynamic loads Dynamic response Earthquake resistance Equations of motion Finite element method Fluid structure interaction Pile foundations Seismic waves Soil structure interactions Spectrum analysis stochastic control systems Vibrations (mechanical)
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NN-based Output Tracking for More General Stochastic Nonlinear Systems with Unknown Control Coefficients
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作者 Na Duan Hui-Fang Min 《International Journal of Automation and computing》 EI CSCD 2017年第3期350-359,共10页
This paper considers the output tracking problem for more general classes of stochastic nonlinear systems with unknown control coefficients and driven by noise of unknown covariance. By utilizing the radial basis func... This paper considers the output tracking problem for more general classes of stochastic nonlinear systems with unknown control coefficients and driven by noise of unknown covariance. By utilizing the radial basis function neural network approximation method and backstepping technique, we successfully construct a controller to guarantee the solution process to be bounded in probability.The tracking error signal is 4th-moment semi-globally uniformly ultimately bounded(SGUUB) and can be regulated into a small neighborhood of the origin in probability. A simulation example is given to demonstrate the effectiveness of the control scheme. 展开更多
关键词 stochastic nonlinear systems unknown control coefficients output tracking neural networks backstepping
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DISTRIBUTED TRACKING CONTROL OF SECONDORDER MULTI-AGENT SYSTEMS UNDER MEASU-REMENT NOISES 被引量:5
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作者 LIU Xueliang XU Bugong XIE Lihua 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2014年第5期853-865,共13页
This paper considers a leader-following tracking control problem for second-order multiagent systems(MASs) under measurement noises and directed communication channels.It is assumed that each follower-agent can measur... This paper considers a leader-following tracking control problem for second-order multiagent systems(MASs) under measurement noises and directed communication channels.It is assumed that each follower-agent can measure the relative positions and velocities of its neighbors in a noisy environment.Based on a novel velocity decomposition technique,a neighbor-based control law is designed to realize local control strategies for these continuous-time agents.It is shown that the proposed consensus protocol can guarantee that all the follower-agents track the active leader.In addition,this result is extended to a more general case with switching topologies.Finally,a numerical example is given for illustration. 展开更多
关键词 Multi-agent systems(MASs) stochastic systems tracking control velocity decomposition
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