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检索条件"机构=Laboratory of Intelligent Control and Optimization of Complex Systems"
2421 条 记 录,以下是221-230 订阅
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New advances in complex motion control for single robot systems and multi-agent systems
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Science China(Technological Sciences) 2016年 第12期59卷 1963-1964页
作者: FANG Hao LU Shao Lei CHEN Jie School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081China
CHEN Jie,email:chenjie@***
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A New Method Based on Polytopic Linear Inclusion for Nonlinear filter with Non-Gaussian Noise
A New Method Based on Polytopic Linear Inclusion for Nonline...
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第25届中国控制与决策会议
作者: Bing Liu Zhen Chen Xiangdong Liu Fan Yang School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology
This paper presents a new method based on the polytopic linear differential inclusion and the robust mixed H2/∞ filtering for the design of the nonlinear filter with non-Gaussian noises. The main goal is to solve the... 详细信息
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Stability Analysis of Event-triggered Networked control systems with Time-Varying Delay  34
Stability Analysis of Event-triggered Networked Control Syst...
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第三十四届中国控制会议
作者: WANG Zhao SUN Jian CHEN Jie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology
Networked control systems(NCSs) are facing a great challenge from the limitation of network communication resources. Event-triggered control(ETC) is often used to reduce the amount of communications while still keepin... 详细信息
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Lateral control of Autonomous Vehicles Based on Fuzzy Logic
Lateral Control of Autonomous Vehicles Based on Fuzzy Logic
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第25届中国控制与决策会议
作者: Xinyu Wang Mengyin Fu Yi Yang Hongbin Ma School of Automation Beijing Institution of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology
Autonomous vehicles have attracted considerable attention in the research community and industry due to their potential benefits to unmanned driving and assisted driving. This paper addresses the problem of designing ... 详细信息
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Improved Nonsingular Terminal Sliding Mode Attitude Tracking control for Reentry Vehicle  35
Improved Nonsingular Terminal Sliding Mode Attitude Tracking...
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第35届中国控制会议
作者: CHENG Yifeng SHENG Yongzhi LIU Xiangdong School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology
This paper investigates the attitude tracking control problem of reentry vehicle with modeling inaccuracies and external disturbances. An improved nonsingular terminal sliding mode control method is presented, and a f... 详细信息
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SDRE based Optimal Time-Varying Sliding Mode control for Re-entry Vehicle
SDRE based Optimal Time-Varying Sliding Mode Control for Re-...
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第25届中国控制与决策会议
作者: Liang Wang Yongzhi Sheng Xiangdong Liu Jie Geng School of Automation Beijing Institute of Technology Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology
An optimal time-varying sliding mode controller based on SDRE approach is proposed in this paper for re-entry vehicle attitude control in the presence of parametric uncertainties and external disturbances. Firstly, an... 详细信息
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Parallel control for Optimal Tracking via Adaptive Dynamic Programming
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IEEE/CAA Journal of Automatica Sinica 2020年 第6期7卷 1662-1674页
作者: Jingwei Lu Qinglai Wei Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 The State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078 Qingdao Academy of Intelligent Industries Qingdao 266109China
This paper studies the problem of optimal parallel tracking control for continuous-time general nonlinear *** existing optimal state feedback control,the control input of the optimal parallel control is introduced int... 详细信息
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Chaotic Particle Swarm optimization Algorithm Parametric Identification of Bouc-Wen hysteresis Model for Piezoelectric Ceramic Actuator
Chaotic Particle Swarm Optimization Algorithm Parametric Ide...
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第25届中国控制与决策会议
作者: Ning Dong Hongjuan Li Xiangdong Liu Key Laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology School of Automation Beijing Institute of Technology
A chaotic particle swarm optimization (CPSO) algorithm is proposed by introducing chaos state into the original Particle Swarm optimization (PSO) which aims to solving the flaws of easy plunging into local optimum and... 详细信息
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Robust control of Spacecraft Eigenaxis Maneuver via Integral Sliding Mode
Robust Control of Spacecraft Eigenaxis Maneuver via Integral...
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第25届中国控制与决策会议
作者: Zhen Chen Binglong Cong Xiangdong Liu School of Automation Beijing Institute of Technology Key Laboratory for Intelligent Control and Decision of Complex Systems Beijing Institute of Technology
The control problem of spacecraft eigenaxis maneuver in the presence of parametric uncertainty and external disturbance is addressed in this paper. Modified Rodrigues parameters (MRPs) are utilized as the attitude p... 详细信息
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Training a neural observer using a hybrid approach
Training a neural observer using a hybrid approach
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9th International Multi-Conference on systems, Signals and Devices, SSD 2012
作者: Loukil, Rania Chtourou, Mohamed Damak, Tarak Intelligent Control Design and Optimization of Complex Systems National Engineering School of Sfax Sfax Tunisia Automatic Control Unit National Engineering School of Sfax Sfax Tunisia
In this work, we use the approach based on observers such as the neural observer in order to introduce the diagnosis of nonlinear systems. There are different techniques for training the neural networks. Among these t... 详细信息
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