supported by the Major Scientific Instrument Development Program of the National Natural Science Foundation of China(61527809);the National Natural Science Foundation of China(61374101,61375084);the Key Program of Shandong Provincial Natural Science Foundation(ZR2015QZ08)of China;the Young Scholars Program of Shandong University(2015WLJH44)
This paper discusses the parameter and differentiation order identification of continuous fractional order KiBaM models in ARX (autoregressive model with exogenous inputs) and OE (output error model) forms. The least ...
supported by National Natural Science Foundation of China(NSFC)Key Program(61573094);the Fundamental Research Funds for the Central Universities(N140402001)
With the increasing integration of distributed generations U+0028 DGs U+0029, there is a demand for DGs to play a more important role on the voltage regulation. Meanwhile, the high penetration of DGs could raise a tec...
supported in part by National Natural Science Foundation of China(61533017,61273140,61304079,61374105,61379099,61233001);Fundamental Research Funds for the Central Universities(FRF-TP-15-056A3);the Open Research Project from SKLMCCS(20150104)
This paper concerns a novel optimal self-learning battery sequential control scheme for smart home energy systems. The main idea is to use the adaptive dynamic programming U+0028 ADP U+0029 technique to obtain the opt...
This paper focuses on the H∞output feedback control problem of linear time-invariant fractional-order systems over finite frequency range. Based on the generalized Kalman-Yakubovic-Popov (KYP) Lemma and a key project...
supported by National Natural Science Foundation of China(61304085);Beijing Natural Science Foundation(4152040)
An iterative learning control (ILC) algorithm using quantized error information is given in this paper for both linear and nonlinear discrete-time systems with stochastic noises. A logarithmic quantizer is used to gua...
supported by National Natural Science Foundation of China(61174053);National Key Basic Research Program of China(2014CB845301/2/3);Fundamental Research Funds for the Central Universities(2014ZP0021);Cultivation Fund of the Key Scientific and Technical Innovation Project,Ministry of Education of China(708069);partially by Key Laboratory of Autonomous Systems and Networked Control,Ministry of Education;Key Laboratory of Surface Functional Structure Manufacturing of Guangdong Higher Education Institutes
This paper presents a new method for simultaneous synthesis of dynamic controller and static anti-windup compensator for saturated Lipschitz systems. Thanks to the reformulated Lipschitz property, the Lipschitz system...
supported by National Natural Science Foundation of China(61403254,61374039,61203143);Shanghai Pujiang Program(13PJ1406300);Natural Science Foundation of Shanghai City(13ZR1428500);Innovation Program of Shanghai Municipal Education Commission(14YZ083);Hujiang Foundation of China(C14002,B1402/D1402)
This paper is concerned with the distributed model predictive control (MPC) problem for a class of discrete-time Markovian jump linear systems (MJLSs) subject to actuator saturation and polytopic uncertainty in system...
supported partly by National Natural Science Foundation of China(61473247,61104033,61172095);Hebei Provincial Natural Science Fund(F2012203109)
Wireless sensor networks (WSNs) are energyconstrained, so energy saving is one of the most important issues in typical applications. The clustered WSN topology is considered in this paper. To achieve the balance of en...
supported by Foundation for Innovative Research Groups of National Natural Science Foundation of China(NSFC)(61321002);National Science Fund for Distinguished Young Scholars(60925011);Projects of Major International(Regional)Joint Research Program NSFC(61120106010);Beijing Education Committee Cooperation Building Foundation Project,Program for Changjiang Scholars and Innovative Research Team in University(IRT1208);Chang Jiang Scholars Program and National Natural Science Foundation of China(61203078)
At present, the studies on multi-team antagonistic games (MTAGs) are still in the early stage, because this complicated problem involves not only incompleteness of information and conflict of interests, but also selec...