OPTIMAL_CONTROL

作品数：617被引量：1059H指数：13
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Decision-implementation complexity of cooperative game systems被引量：1
《Science China(Information Sciences)》2017年第11期176-193,共18页Changbao XU Yanlong ZHAO Ji-Feng ZHANG 
supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB845301);National Natural Science Foundation of China (Grant No. 61227902)
This paper focuses on the decision-implementation complexity （DIC） of cooperative games. The complexity of a control law is a fundamental issue in practice because it is closely related to control cost. First, we fo...
关键词：cooperative game distributed protocol optimal control decision-implementation complexity two-phase protocol 
A RISK-SENSITIVE STOCHASTIC MAXIMUM PRINCIPLE FOR OPTIMAL CONTROL OF JUMP DIFFUSIONS AND ITS APPLICATIONS被引量：1
《Acta Mathematica Scientia》2011年第2期419-433,共15页史敬涛 吴臻 
supported by the National Basic Research Program of China (973 Program, 2007CB814904);the National Natural Science Foundations of China (10921101);Shandong Province (2008BS01024, ZR2010AQ004);the Science Funds for Distinguished Young Scholars of Shandong Province (JQ200801);Shandong University (2009JQ004),the Independent Innovation Foundations of Shandong University (IIFSDU,2009TS036, 2010TS060)
A stochastic maximum principle for the risk-sensitive optimal control prob- lem of jump diffusion processes with an exponential-of-integral cost functional is derived assuming that the value function is smooth, where ...
关键词：Risk-sensitive control jump diffusions maximum principle adioint equation 
Target Tracking and Obstacle Avoidance for Multi-agent Networks with Input Constraints被引量：2
《International Journal of Automation and computing》2011年第1期46-53,共8页Jing Yan Xin-Ping Guan Xiao-Yuan Luo Fu-Xiao Tan 
supported by National Basic Research Program of China (973 Program) (No. 2010CB731800);Key Project of National Science Foundation of China (No. 60934003);National Nature Science Foundation of China (No. 61074065);Key Project for Natural Science Research of Hebei Education Department, PRC(No. ZD200908);Key Project for Shanghai Committee of Science and Technology (No. 08511501600)
In this paper, the problems of target tracking and obstacle avoidance for multi-agent networks with input constraints are investigated. When there is a moving obstacle, the control objectives are to make the agents tr...
关键词：Target tracking obstacle avoidance multi-agent networks potential function optimal control. 
Forward-backward Stochastic Differential Equations and Backward Linear Quadratic Stochastic Optimal Control Problem被引量：1
《Communications in Mathematical Research》2009年第5期402-410,共9页ZHANG DE-TAO 
The NSF(10671112)of China;National Basic Research Program(973 Program)(2007CB814904)of China;the NSF(Z2006A01)of Shandong Province and the Chinese New Century Young Teachers Program
In this paper, we use the solutions of forward-backward stochastic differential equations to get the optimal control for backward stochastic linear quadratic optimal control problem. And we also give the linear feedba...
关键词：backward stochastic differential equations optimal control Riccati equation 
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