supported in part by the National Natural Science Foundation of China(62103004,62273088,62273005,62003121);Anhui Provincial Natural Science Foundation of China(2108085QA13);the Natural Science Foundation of Zhejiang Province(LY24F030006);the Science and Technology Plan of Wuhu City(2022jc24);Anhui Polytechnic University Youth Top-Notch Talent Support Program(2018BJRC009);Anhui Polytechnic University High-End Equipment Intelligent Control Innovation Team(2021CXTD005);Anhui Future Technology Research Institute Foundation(2023qyhz08,2023qyhz09)。
In this paper,the recursive filtering problem is considered for stochastic systems over filter-and-forward successive relay(FFSR)networks.An FFSR is located between the sensor and the remote filter to forward the meas...
This work relates to Department of Navy award N00014-22-1-2159 issued by the Office of Naval Research。
This paper studies deterministic and stochastic fixedtime stability of autonomous nonlinear discrete-time(DT)systems.Lyapunov conditions are first presented under which the fixed-time stability of deterministic DT sys...
supported in part by the National Science Foundation(ECCS1053717,CNS 1117314);the National Science Foundation of China(51529701,51277135)
The volatile wind power generation brings a full spectrum of problems to power system operation and management, ranging from transient system frequency fluctuation to steady state supply and demand balancing issue. In...
supported by the Research Grants Council of the Hong Kong Special Administrative Region,China(416811,416812);National Natural Science Foundation of China(61573003);part by the Scientific Research Fund of Hunan Provincial Education Department of China(15k026)
This paper presents the theoretical results on the master-slave (or driving-response) synchronization of two memristive neural networks in the presence of additive noise. First, a control law with a linear time-delay ...
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 the Fonds National de la Recherche,Luxembourg(CO11/IS/1206050(SeSaNet));National Natural Science Foundation of China(61273222)
In order to compromise a target control system successfully, hackers possibly attempt to launch multiple cyberattacks aiming at multiple communication channels of the control system. However, the problem of detecting ...
supported by National Natural Science Foundation of China(61100159,61233007);National High Technology Research and Development Program of China(863 Program)(2011AA040103);Foundation of Chinese Academy of Sciences(KGCX2-EW-104);Financial Support of the Strategic Priority Research Program of Chinese Academy of Sciences(XDA06021100);the Cross-disciplinary Collaborative Teams Program for Science,Technology and Innovation,of Chinese Academy of Sciences-Network and System Technologies for Security Monitoring and Information Interaction in Smart Grid Energy Management System for Micro-smart Grid
This paper focuses on the energy optimal operation problem of microgrids (MGs) under stochastic environment. The deterministic method of MGs operation is often uneconomical because it fails to consider the high random...
supported by a contract between General Motors Company and Tsinghua University,National Natural Science Foundation of China(61425027,60736027,61021063,61074034,61174105)
In this paper, we study a class of manufacturing systems which consist of multiple plants and each of the plants has capability of producing multiple distinct products. The production lines of a certain plant may swit...
supported by National Natural Science Foundation of China(61004066)
In this paper, we present an iterative scenario approach (ISA) to design robust controllers for complex linear parameter-varying (LPV) systems with uncertainties. The robust controller synthesis problem is transformed...