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Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 9
Authors:  Niu, Ben;  Chen, Wendi;  Su, Wei;  Wang, Huanqing;  Wang, Ding;  Zhao, Xudong
Favorite  |  View/Download：31/0  |  Submit date：2022/11/14
Switches  Stochastic processes  Security  Heuristic algorithms  Actuators  Nonlinear systems  Control design  Dynamic surface control (DSC)  stochastic nonlinear cyber-physical systems (CPSs)  switching threshold event-triggered control  unknown deception attacks  
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
Authors:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  Favorite  |  View/Download：98/11  |  Submit date：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
NeuralDPS: Neural Deterministic Plus Stochastic Model With Multiband Excitation for Noise-Controllable Waveform Generation 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 卷号: 30, 页码: 865-878
Authors:  Wang, Tao;  Fu, Ruibo;  Yi, Jiangyan;  Tao, Jianhua;  Wen, Zhengqi
Favorite  |  View/Download：63/0  |  Submit date：2022/06/06
Vocoders  Stochastic processes  Neural networks  Speech processing  Signal to noise ratio  Acoustics  Speech enhancement  Vocoder  speech synthesis  deterministic plus stochastic  multiband excitation  noise control  
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
Authors:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
Favorite  |  View/Download：79/0  |  Submit date：2021/01/06
Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence  
Improved value iteration for neural-network-based stochastic optimal control design 期刊论文
NEURAL NETWORKS, 2020, 卷号: 124, 页码: 280-295
Authors:  Liang, Mingming;  Wang, Ding;  Liu, Derong
Adobe PDF(5875Kb)  |  Favorite  |  View/Download：105/20  |  Submit date：2020/06/02
Adaptive critic designs  Adaptive dynamic programming  Neural networks  Optimal control  Stochastic processes  Value iteration  
Neuro-optimal control for discrete stochastic processes via a novel policy iteration algorithm 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 卷号: 50, 期号: 11, 页码: 3972-3985
Authors:  Liang, Mingming;  Wang, Ding;  Liu, Derong
View  |  Adobe PDF(1604Kb)  |  Favorite  |  View/Download：62/16  |  Submit date：2020/10/23
Adaptive critic designs  adaptive dynamic programming (ADP)  local policy iteration  neuro-dynamic programming  optimal control  stochastic processes  
Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
Authors:  Sui, Shuai;  Chen, C. L. Philip
Favorite  |  View/Download：116/0  |  Submit date：2019/07/12
chemical reactors  stochastic systems  control system synthesis  feedback  differential equations  adaptive control  uncertain systems  observers  stochastic processes  nonlinear control systems  stability  fuzzy control  control nonlinearities  probability  adaptive output-feedback finite-time stabilisation  two-stage chemical reactor  uncertain stochastic nonlinear system  unmeasured system variables  fuzzy logic systems  fuzzy state observer  stochastic differential equation  adaptive backstepping intelligent control  two-stage continuous stirred tank reactor process  controller design  single-input single-output system  SISO  probability  
Stochastic Uncertainty Models for the Luminance Consistency Assumption 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 2, 页码: 481-493
Authors:  Corpetti, Thomas;  Memin, Etienne
Favorite  |  View/Download：71/0  |  Submit date：2015/09/18
Image Motion Analysis  Image Quality  Image Sampling  Stochastic Processes