supported by the National Natural Science Foundation of China(No.62073305);the Hubei Provincial Natural Science Foundation(No.2022CFA041);the 2022 Innovation and Entrepreneurship Plan for College Students of China University of Geosciences,Wuhan,China(No.S202210491203).
This article studies the almost-sure and the mean-square consensus control problems of second-order stochastic discrete-time multi-agent systems with multiplicative noises.First,a control law based on the absolute vel...
supported in part by the Shenzhen Key Laboratory of Control Theory and Intelligent Systems under Grant No.ZDSYS20220330161800001;in part by the Research Grants Council of the Hong Kong Special Administrative Region under Grant No.14201420;in part by the National Natural Science Foundation of China under Grant No.61973260。
The leader-following asymptotic consensus problem for general discrete-time linear multi-agent systems over jointly con-nected switching networks was solved about a decade ago.Recently,the leader-following exponential...
supported in part by the National Natural Science Foundation of China(Nos.62022055,61973215).
In this paper,we revisit the semi-global weighted output average tracking problem for a discrete-time multi-agent system subject to input saturation and external disturbances.The multi-agent system consists of multipl...
The work of R.Madonski was supported by the Fundamental Research Funds for the Central Universities(Project no.21620335).
Practical implementations of active disturbance rejection control(ADRC)will almost always take place in discretized form.Since applications may have quite different needs regarding their discrete-time controllers,this...
This paper develops a discrete-time sliding mode controller with a power rate exponential reaching law approach to enhance the performance of a pneumatic artificial muscle system in both reaching time and chattering r...
In this paper,the problem of inverse quadratic optimal control over fnite time-horizon for discrete-time linear systems is considered.Our goal is to recover the corresponding quadratic objective function using noisy o...
This work was supported by Tianjin Natural Science Foundation under Grant 20JCYBJC00880;Beijing key Laboratory Open Fund of Long-Life Technology of Precise Rotation and Transmission Mechanisms;Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control.
Owing to extensive applications in many fields,the synchronization problem has been widely investigated in multi-agent systems.The synchronization for multi-agent systems is a pivotal issue,which means that under the ...
This work was supported by the National Science Fund for Distinguished Young Scholars (No. 61225014), the National Major Scientific Instruments Development Project (No. 61527811), the National Natural Science Foundation of China (Nos. 61304084, 61374119), the Guangdong Natural Science Foundation (No. 2014A030312005), and the Space Intelligent Control Key Laboratory of Science and Technology for National Defense.
Recently, an approach for the rapid detection of small oscillation faults based on deterministic learning theory was proposed for continuous-time systems. In this paper, a fault detection scheme is proposed for a clas...
This work was supported in part by the Research Grants Council of the Hong Kong Special Administration Region (No. 412813) and in part by the National Natural Science Foundation of China (No. 611 74049).
In this paper, we study the output regulation problem of discrete linear time-delay systems by output feedback control. We have established some results parallel to those for the output regulation problem of continuou...
supported by the Deanship of Scientific Research at King Fahd University of Petroleum & Minerals Project(No.JF141002);the National Science Foundation(No.ECCS-1405173);the Office of Naval Research(Nos.N000141310562,N000141410718);the U.S. Army Research Office(No.W911NF-11-D-0001);the National Natural Science Foundation of China(No.61120106011);the Project 111 from the Ministry of Education of China(No.B08015)
This paper introduces a model-free reinforcement learning technique that is used to solve a class of dynamic games known as dynamic graphical games. The graphical game results from to make all the agents synchronize t...