supported by NSFC(11401089,11671071);the Scientific Technological Project of Jilin Province’s Education Department in Thirteenth Five-Year(JJKH20170535KJ);supported by NSFC(11571065);the National Basic Research Program of China(2013CB834102)
This paper gives a tutorial on how to prove Lyapunov type criteria by optimal control methods. Firstly, we consider stability criteria on Hill’s equations with nonnegative potential. By optimal control methods develo...
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...
partially supported by a National Key Basic Research Project of China under Grant No.2011CB302400;the Natural Science Foundation of China under Grant No.60821002
In this paper,the problem of time optimal feedrate generation under confined feedrate,axis accelerations,and axis tracking errors is considered.The main contribution is to reduce the tracking error constraint to const...
Natural Science Foundation of China(NSFC)under grant#61273054,#60975072 and#60604009;National Key Basic Research Program of China under grant#2013CB035503;National High Technology Research and Development Program of China(863 Program)under grant#2011AA040902;Program for New Century Excellent Talents in University of China under grant#NCET-10-0021;Top-Notch Young Talents Program of China,Fundamental Research Funds for the Central Universities of China,and Aeronautical Foundation of China under grant#20115151019.
Purpose–Artificial bee colony(ABC)algorithm is a relatively new optimization method inspired by the herd behavior of honey bees,which shows quite intelligence.The purpose of this paper is to propose an improved ABC o...
Supported by the National Basic Research Project (2007CB714006, 90815023); the National Natural Science Foundation of China (GZ0818, GZ1107)
A mathematical model of the soil pressure system in shield tunneling was proposed to optimize soil pressure control in the soil chamber, based on the constitutive relationship between strain and stress. The desired pr...
supported by State Key Laboratory of Scientific and Engineering Computing,Chinese Academy of Sciences and National Nature Science Foundation under Grant 10801092;Independent Innovation Foundation of Shandong University,IIFSDU and Shandong Nature Science Foundation ZR2012AM003;supported by National Nature Science Foundation under Grant 11171337;the National Basic Research Program under the Grant 2010CB731505.
In this paper,we derive a posteriori error estimates for finite element approximations of the optimal control problems governed by the Stokes-Darcy system.We obtain a posteriori error estimators for both the state and...
supported by the National Basic Research Program of China(No.2007CB814906);the National Natural Science Foundation of China(No.10771124)。
In this paper,the finite element approximation of a class of semilinear parabolic optimal control problems with pointwise control constraint is studied.We discretize the state and co-state variables by piecewise linea...
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 ...
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...
Supported by the National Natural Science Foundation of China (Grant No. 10325101);the National Basic Research Program of China (GrantNo. 2007CB814904);the Natural Science Foundation of Zhejiang Province (Grant Nos. Y605478, Y606667)
The paper is concerned with a stochastic optimal control problem where the controlled systems are driven by Teugel's martingales and an independent multi-dimensional Brownian motion, Necessary and sufficient conditio...