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		题名	作者	年代	出处	被引量
	1	Support vector machine-based multi-model predictive control显示文摘In this paper,a support vector machine-based multi-model predictive control is proposed,in which SVM classification combines well with SVM regression. At first,each working environment is modeled by SVM regression and the support vector machine network-based model predictive control (SVMN-MPC) algorithm corresponding to each environment is developed,and then a multi-class SVM model is established to recognize multiple operating conditions. As for control,the current environment is identified by the multi-class SVM model and then the corresponding SVMN-MPC controller is activated at each sampling instant. The proposed modeling,switching and controller design is demonstrated in simulation results.	Zhejing BAO Youxian SUN	2008	控制理论与应用(英文版)2008，6，3：	3
	2	Cascading failures in local-world evolving networks显示文摘	BAO ZHEJING CAO YIJIA	2008	Journal of Zhejiang University: Science A2008，9，13：	1
	3	A multi time-scale and multi energy-type coordinated microgrid schedu- ling solution 显示文摘	BAO Zhejing ZHOU Qin YANG Zhihui	2014	IEEE Transactions on Power Systems2014，99，：	1
	4	H∞control synthesis for lurie networked control systems with multiple delays based on the non-uniform characteristic显示文摘	Li Peiran Bao Zhejing Yang Qiang	2013	Asian Journal of Control2013，15，4：	1
	5	Comparison of cascading failures in small-world and scale-free networks subject to vertex and edge attacks显示文摘	Bao Zhejing Cao Yijia Ding Lijie	2009	Physica A: Statistical Mechanics and its Applications2009，388，20：	1
	6	Analysis on the selPorganized critical state with power flow entropy in power grids 显示文摘	DING Lijie BAO Zhejing	2009	Intelligent Computation Technology and Automation2009，3，：	1
	7	A multi time- scale and multi energy type coordinated microgrid scheduling solution: Part I model and methodology显示文摘	BAO Zhejing ZHOU Qin YANG Zhihui	2015	IEEE Trans on Power Systems2015，30，5：	1

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