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CORC

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Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 428-438
作者:  Mahdi Chavoshian;  Mostafa Taghizadeh;  Mahmood Mazare
收藏  |  浏览/下载：12/0  |  提交时间：2021/02/22
Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 213-225
作者:  Imen Zaidi;  Mohamed Chtourou;  Mohamed Djemel
收藏  |  浏览/下载：1/0  |  提交时间：2021/02/22
Control strategies and error compensation methods of high precision gyro stabilized platform (EI CONFERENCE) 会议论文
30th Chinese Control Conference, CCC 2011, July 22, 2011 - July 24, 2011, Yantai, China
Deng K.; Cong S.; Shen H.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Algorithm research of target acquisition for TV tracking system based on Sliding Mode Control (EI CONFERENCE) 会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wu P.; Gao H.-B.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
Target acquisition algorithm based on Sliding Mode Control (SMC) is proposed for TV tracking system. Target acquisition capability and performance are both improved  attributing to overcoming the deficiencies of traditional linear control. In this paper  sliding surface with variable coefficient and continuous control law without switching is introduced in the SMC controller design. The improved SMC shows better performance compared to basic SMC  and full-field acquisition with rapid response and non-overshoot is achieved. The simulation of acquisition shows that  the system can acquire a target passing through the view field of 1.53 in the width with an uniform speed of 15 /s  while the whole process is in a short settling time and chattering-free  and the reaching segment has no overshoot. 2010 IEEE.  
Adaptive sliding mode control for airborne Opto-Electronic platform servo system (EI CONFERENCE) 会议论文
7th International Conference on Machine Learning and Cybernetics, ICMLC, July 12, 2008 - July 15, 2008, Kunming, China
Wang C.-X.; Liu J.-H.; Shen H.-H.; Dai M.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
The novel presents an adaptive reaching law sliding mode controller to slove a class of uncertain systems.The Airborne Opto-Electronic Platform sliding model is employed to represent a class of complex uncertain system. The control is based on reaching law control. Discrete time implementation of the sliding mode control strategy is considered in the paper  since it is more appropriate for practical applications. It is shown that the robustness of the sliding mode control method is constrained by sampling time. Design of the adaptive reaching law based on a discrete expotential reaching law concept is given  which to design a new sliding mode controller based on Lyapunov stability theory. The global asymptotic stability is guaranteed. An example with simulation results is given to illustrate the effectiveness of the proposed method. 2008 IEEE.  
一类欠驱动机械系统的智能控制研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2003
作者:  刘殿通
收藏  |  浏览/下载：71/0  |  提交时间：2015/09/02

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