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3篇 您的检索式：作者名="SHU MingLei"

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		题名	作者	年代	出处	被引量
	1	Three-dimensional localization algorithm of wireless sensor networks base on particle swarm optimization显示文摘	WEI Nuo GUO Qiang SHU Minglei	2012	Journal of China Universities of Posts and Telecommunications2012，19，2：	1
	2	Planning the obstacle-avoidance trajectory of mobile anchor in 3D sensor networks显示文摘Localization plays an important role in many applications of wireless sensor networks. Recently,mobile anchor assisted localization methods become promising, and the moving trajectory planning of anchor is an interesting and basic issue in these methods. In this paper, an obstacle-avoidance trajectory planning method for three-dimensional wireless sensor networks is proposed. After dividing the network into grids, a depth-firstsearch algorithm with greedy strategy is proposed to get the approximately shortest path, and a trigonal function based localization method is presented to estimate the positions of the sensor nodes. Simulations show that this method can obtain almost the optimal path and localize almost all the sensor nodes.	SHU MingLei CUI HuanQing WANG YingLong WANG Cheng-Xiang	2015	Science China(Information Sciences)2015，58，10：	1
	3	Robust H_(∞)path tracking control of autonomous vehicles with delay and actuator saturation显示文摘The path tracking control problem is investigated in this paper for autonomous vehicles(AVs)with time-varying input delay and actuator saturation.Based on the Lyapunov-Krasovskii function and the characteristic of the saturation nonlinearity,a robust H_(∞)state-feedback path tracking controller is presented,and the corresponding control gain can be obtained by solving the linear matrix inequalities(LMIs).The asymptotic stability and prescribed H_(∞)performance conditions are studied for the closed-loop control system.To reduce the cost of control system,a static robust H_(∞)output-feedback controller is also proposed.In addition,the uncertainty effects of the cornering stiffness and external disturbances are included to improve the robustness of the control scheme.Simulation results are given to verify the effectiveness of the proposed theoretical results.	Changfang Chen Minglei Shu Yuanyuan Yang Tianlei Gao Lipan Bian	2022	Journal of Control and Decision2022，9，1：	0

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