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Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula Journal article
Probability Theory and Related Fields, 2019,Volume: 174,Issue: 3-4,Page: 945–979
Authors:  Xiao Fang;  Qi-Man Shao;  Lihu Xu
Favorite  |  View/Download:6/0  |  Submit date:2019/07/19
Bismut's Formula  Multivariate Approximation  Rate Of Convergence  Stein’s Method  Wasserstein Distance  Langevin Algorithm  Malliavin Calculus  
Strategies for uncertainty optimization through motion planning in GES sensor-based SLAM Journal article
Robotics and Autonomous Systems, 2019,Volume: 113,Page: 38-55
Authors:  Lourenco P.;  Batista P.;  Oliveira P.;  Silvestre C.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/12
Optimal control  Simultaneous localization and mapping  Uncertainty optimization  
Degradation of scrap tyre by Bacillus sp. – Kinetic aspects of major environmental parameters and identification of potential growth substrates Journal article
International Biodeterioration and Biodegradation, 2019,Volume: 137,Page: 95-101
Authors:  Lao WC;  Alves de Toledo RA;  Lu QH;  Shim H
Favorite  |  View/Download:5/0  |  Submit date:2019/02/14
Bacillus Sp.  Environmental Factors  Growth Substrate  N-alkanes  Tyre Degradation  
Robust Non-fragile H∞ Optimum Control for Active Suspension Systems with Time-varying Actuator Delay Journal article
Journal of Vibration and Control, 2019
Authors:  Wenfeng Li;  Zhengchao Xie;  Pak Kin Wong;  Yucong Cao;  Xingqi Hua;  Jing Zhao
Favorite  |  View/Download:1/0  |  Submit date:2019/06/25
Active Suspension  Actuator Delay  H∞ Control  Convex Optimization  Quarter-car Test Rig  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite  |  View/Download:0/0  |  Submit date:2019/01/17
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems with Unknown Nonaffine Dead-Zone Input Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite  |  View/Download:0/0  |  Submit date:2019/02/11
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Exact optimal power dispatch in unbalanced distribution systems with high PV penetration Journal article
IEEE Transactions on Power Systems, 2019,Volume: 34,Issue: 1,Page: 718-728
Authors:  Nguyen Q.;  Padullaparti H.V.;  Lao K.-W.;  Santoso S.;  Ke X.;  Samaan N.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/14
Distribution systems  Photovoltaic integration  Primal-dual interior point method  Voltage regulation  
A dynamic discount pricing strategy for viral marketing Journal article
PLOS ONE, 2018,Volume: 13,Issue: 12
Authors:  Zhong, Xiang;  Zhao, Juan;  Yang, Lu-Xing;  Yang, Xiaofan;  Wu, Yingbo;  Tang, Yuan Yan
Favorite  |  View/Download:3/0  |  Submit date:2019/01/17
Serially coupled reversed phase-hydrophilic interaction liquid chromatography-tailored multiple reaction monitoring, a fit-for-purpose tool for large-scale targeted metabolomics of medicinal bile Journal article
ANALYTICA CHIMICA ACTA, 2018,Volume: 1037,Page: 119-129
Authors:  Song, Qingqing;  Liu, Wenjing;  Chen, Xiaojia;  Li, Jun;  Li, Peng;  Yang, Fengqing;  Wang, Yitao;  Song, Yuelin;  Tu, Pengfei
Adobe PDF(1652Kb)  |  Favorite  |  View/Download:229/3  |  Submit date:2018/10/30
Large-scale Targeted Metabolomics  Serially Coupled Rplc-hilic  Tailored Multiple Reaction Monitoring  Medicinal Bile  Bile Acids  
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li, Zhijun;  Yuan, Wang;  Chen, Yao;  Ke, Fan;  Chu, Xiaoli;  Chen, C. L. Philip
Favorite  |  View/Download:2/0  |  Submit date:2019/01/17
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)