中国科学院机构知识库网格系统: 检索

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	Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 52-63 作者: Yingxu Wang; Ming Hou; Konstantinos N. Plataniotis; Sam Kwong; Henry Leung \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/04/09 Autonomous systems (AS) cognitive systems computational intelligence engineering paradigms intelligence science intelligent mathematics
	Swarm intelligent algorithm for re-entrant hybrid flow shop scheduling problems 期刊论文 OAI收割 International Journal of Simulation and Process Modelling, 2019, 卷号: 14, 期号: 1, 页码: 17-27 作者: Han ZH(韩忠华); Tian, Xutian; Dong XT(董晓婷); Xie, Fanyi \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2019/02/24 re-entrant hybrid flow shop RHFS mathematics scheduling models Hamming distance Levy flight swarm intelligent algorithm
	dynamic provable data possession with batch-update verifiability 会议论文 OAI收割 2012 IEEE International Conference on Intelligent Control, Automatic Detection and High-End Equipment, ICADE 2012, Beijing, China, July 27, 2012 - July 29, 2012 Wang Junxiang; Liu Shengli \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/09/22 Intelligent control Trees (mathematics)
	Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文 OAI收割 2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore it can trace the path steadily and reliably. 2008 IEEE. the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory during the change of the curve curvature radius is little the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability
	Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.