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检索条件"机构=The State Key Lab of Management and Control for Complex Systems"
5047 条 记 录,以下是151-160 订阅
排序:
A Novel Optimization Method for Lenticular 3-D Display Based on Light Field Decomposion
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JOURNAL OF DISPLAY TECHNOLOGY 2016年 第7期12卷 727-735页
作者: Pei, Renjing Geng, Zheng Zhang, Zhao Xing Cao, Xuan Wang, Rong Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China
Crosstalk is a primary defect in affecting the image quality of stereoscopic three-dimensional (3-D) displays. Until now, the crosstalk reduction methods either require extra devices or need tedious calibration proced... 详细信息
来源: 评论
Optimal Formation of Multirobot systems Based on a Recurrent Neural Network
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2016年 第2期27卷 322-333页
作者: Wang, Yunpeng Cheng, Long Hou, Zeng-Guang Yu, Junzhi Tan, Min Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
The optimal formation problem of multirobot systems is solved by a recurrent neural network in this paper. The desired formation is described by the shape theory. This theory can generate a set of feasible formations ... 详细信息
来源: 评论
Parallel Traffic management System and Its Application to the 2010 Asian Games
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2013年 第1期14卷 225-235页
作者: Xiong, Gang Dong, Xisong Fan, Dong Zhu, Fenghua Wang, Kunfeng Lv, Yisheng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
Field data are important for convenient daily travel of urban residents, reducing traffic congestion and accidents, pursuing a low-carbon environment-friendly sustainable development strategy, and meeting the extra pe... 详细信息
来源: 评论
Exploring biologically inspired shallow model for visual classification
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SIGNAL PROCESSING 2014年 105卷 1-11页
作者: Tang, Tang Qiao, Hong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
Visual classification has long been a major challenge for computer vision. In recent years, biologically inspired visual models have raised great interests. However, most of the related studies mainly focus on learnin... 详细信息
来源: 评论
Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration
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IET control THEORY AND APPLICATIONS 2015年 第12期9卷 1791-1801页
作者: Li, Chao Liu, Derong Li, Hongliang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
In this study, a neural-network-based online learning algorithm is established to solve the finite horizon linear quadratic tracking (FHLQT) problem for partially unknown continuous-time systems. An augmented problem ... 详细信息
来源: 评论
Form-closure caging grasps of polygons with a parallel-jaw gripper
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ROBOTICA 2015年 第6期33卷 1375-1392页
作者: Su, Jianhua Ou, Zhicai Qiao, Hong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China
Parallel-jaw gripper finds wide applications in various industrial sectors. In this paper, we mainly focus on the problem of form closure caging grasps of polygons with a parallel-jaw gripper equipped with four finger... 详细信息
来源: 评论
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems
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NEUROCOMPUTING 2015年 第PartA期149卷 124-131页
作者: Zhu, Yuanheng Zhao, Dongbin Liu, Derong Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China
In this paper, a type of fuzzy system structure is applied to heuristic dynamic programming (HDP) algorithm to solve nonlinear discrete-time Hamilton-Jacobi-Bellman (DT-HJB) problems. The fuzzy system here is adopted ... 详细信息
来源: 评论
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming
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INFORMATION SCIENCES 2014年 282卷 167-179页
作者: Wang, Ding Liu, Derong Li, Hongliang Ma, Hongwen Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
In this paper, the neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming approach is investigated. First, the robust controller of the original ... 详细信息
来源: 评论
Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm
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NEUROCOMPUTING 2014年 125卷 46-56页
作者: Huang, Yuzhu Liu, Derong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
In this paper, an optimal tracking control scheme is proposed for a class of unknown discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) algorithm. First, in order to obtain the dynamics... 详细信息
来源: 评论
A Novel Dual Iterative Q-Learning Method for Optimal Battery management in Smart Residential Environments
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2015年 第4期62卷 2509-2518页
作者: Wei, Qinglai Liu, Derong Shi, Guang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
In this paper, a novel iterative Q-learning method called "dual iterative Q-learning algorithm" is developed to solve the optimal battery management and control problem in smart residential environments. In ... 详细信息
来源: 评论