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Tracking Control of a Closed-Chain Five-Bar Robot With Two Degrees of Freedom by Integration of an Approximation-Based Approach and Mechanical Design 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 卷号: 42, 期号: 5, 页码: 1470-1479
Authors:  Cheng, Long;  Hou, Zeng-Guang;  Tan, Min;  Zhang, W. J.
Favorite  |  View/Download:31/0  |  Submit date:2015/08/12
Adaptive  Backstepping  Closed-chain Robot  Design  Neural Network  Tracking  Transient Performance.  
Finite-Time Attitude Tracking Control for Spacecraft Using Terminal Sliding Mode and Chebyshev Neural Network 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 卷号: 41, 期号: 4, 页码: 950-963
Authors:  Zou, An-Min;  Kumar, Krishna Dev;  Hou, Zeng-Guang;  Liu, Xi
Favorite  |  View/Download:49/0  |  Submit date:2015/08/12
Adaptive Control  Attitude Tracking  Chebyshev Neural Network (Nn) (cNn)  Spacecraft  Terminal Sliding Mode (Tsm)  
Multicriteria Optimization for Coordination of Redundant Robots Using a Dual Neural Network 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 卷号: 40, 期号: 4, 页码: 1075-1087
Authors:  Hou, Zeng-Guang;  Cheng, Long;  Tan, Min
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Coordinated Manipulation  Coordination  Dual Neural Network  Multiple Criteria  Neural Networks  Optimization  Redundant Robots  
Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 卷号: 39, 期号: 3, 页码: 636-647
Authors:  Hou, Zeng-Guang;  Cheng, Long;  Tan, Min
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Adaptive  Approximation  Consensus  Multiagent System  Neural Networks  Robust  Uncertainty  
Kinematic analysis of a flexible six-DOF parallel mechanism 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2006, 卷号: 36, 期号: 2, 页码: 379-389
Authors:  Jing, Feng-Shui;  Tan, Min;  Hou, Zeng-Guang;  Liang, Zi-Ze;  Wang, Yun-Kuan;  Gupta, Madan M.;  Nikiforuk, Peter N.
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Kinematics  Manipulator  Parallel Mechanism  Robot  Under-actuated System