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Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
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Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Formation Control With Obstacle Avoidance for a Class of Stochastic Multiagent Systems Journal article
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018,Volume: 65,Issue: 7,Page: 5847-5855
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Liu, Yan-Jun
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Directed topology  formation control  obstacle avoidance  stochastic multiagent system  H-infinity analysis  
A SECOND-ORDER STOCHASTIC MAXIMUM PRINCIPLE FOR GENERALIZED MEAN-FIELD SINGULAR CONTROL PROBLEM Journal article
MATHEMATICAL CONTROL AND RELATED FIELDS, 2018,Volume: 8,Issue: 2,Page: 451-473
Authors:  Guo, Hancheng;  Xiong, Jie
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Stochastic maximum principle  mean-field control problem  singular control  Frechet derivative  range theorem of vector-valued measures  
Applying stochastic second-order entropy images to multi-modal image registration Journal article
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018,Volume: 65,Page: 201-209
Authors:  Cun, Xiaodong;  Pun, Chi-Man;  Gao, Hao
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Multi-modal Image Registration  Image-processing  Image Matching  Entropy Image  Structural Representation  Second Order Entropy  
Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process Journal article
International Journal of Robust and Nonlinear Control, 2018,Volume: 28,Issue: 5,Page: 1693-1714
Authors:  Shi, Kaibo;  Tang, Yuanyan;  Zhong, Shouming;  Yin, Chun;  Huang, Xuegang;  Wang, Wenqin
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Bernoulli Stochastic Process  Chaotic Network Systems  Nonfragile Robust Control  Parameters Uncertainties  Proportional-derivative Asynchronous Control  
A new type of change-detection scheme based on the window-limited weighted likelihood ratios Journal article
EXPERT SYSTEMS WITH APPLICATIONS, 2018,Volume: 94,Page: 149-163
Authors:  Fangyi He;  Tiantian Mao;  Taizhong Hu;  Lianjie Shu
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Statistical Distance  Statistical Process Control  Signal Detection  Generalized Likelihood Ratio  Weighted Likelihood Ratio  Stochastic Order  
A novel forecasting method based on multi-order fuzzy time series and technical analysis Journal article
Information Sciences, 2016,Volume: 367-368,Page: 41-57
Authors:  Ye F.;  Zhang L.;  Zhang D.;  Fujita H.;  Gong Z.
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Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
A kernel logistic neural network based on restricted Boltzmann machine Conference paper
2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2016
Authors:  Lv Q.;  Li H.;  Chen C.L.P.;  Wang D.;  Song W.;  Lin H.
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kernel logistic neural network  maximum likelihood estimate  principal component analysis  restricted Boltzmann machine  ridge regularization  
Optimal Rebate Strategies in a Two-echelon Supply Chain with Nonlinear and Linear Multiplicative Demands Journal article
Journal of industrial and management optimization, 2016,Volume: 12,Issue: 4,Page: 1587-1611
Authors:  Jianbin Li;  Niu Yu;  Zhixue Liu;  Lianjie Shu
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Supply Chain  Rebate  Newsvendor Model  Nash Game  Equilibrium  
Adaptive NN control for a class of stochastic nonlinear systems with unmodeled dynamics using DSC technique Journal article
Neurocomputing, 2015,Volume: 149,Issue: Part A,Page: 142-150
Authors:  Li Z.;  Li T.;  Miao B.;  Chen C.L.P.
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Dynamic surface control  Input-to-state practical stability  Neural network  Small-gain theorem  Stochastic nonlinear system  Unmodeled dynamics