中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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A method on improvement of wavelength resolution of grating spectrometers 会议论文  OAI收割
IET International Conference on Communication Technology and Application, ICCTA 2011, Beijing, China, October 14, 2011 - October 16, 2011
作者:  
Song JH;  Yang QS(杨乾锁);  Zou NY
收藏  |  浏览/下载:24/0  |  提交时间:2017/06/20
Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE) 会议论文  OAI收割
9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China
作者:  
Xu S.;  Wang X.;  Wang X.;  Wang X.;  Sun Y.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes  and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems  which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.  
Adaptive sliding mode control for airborne Opto-Electronic platform servo system (EI CONFERENCE) 会议论文  OAI收割
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:21/0  |  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.