supported by the State Key Laboratory of Power System and Generation Equipment(SKLD21KM03);National Natural Science Foundation of China(52007129).
This paper proposes a reactive power and voltage optimal control method for wind farms based on data-driven power flow.Because no prior knowledge of wind farm parameters is necessary,the proposed method is model-free....
supported by National Natural Science Foundation of China(Grant Nos.62303492,61977019,62222306);Shenzhen Basic Research Program(Grant Nos.JCYJ20220818102415033,JSGG20201103093802006,KJZD2023092311-4222045);Natural Science Foundation of Hunan Province(Grant No.2023JJ40765);Natural Science Foundation of Changsha(Grant No.kq2208287);Science and Technology Innovation Program of Hunan Province(Grant No.2022WZ1001);China Postdoctoral Innovation Talents Support Program(Grant No.BX20230430)。
In this paper,the cooperative output regulation(COR)problem of a class of unknown heterogeneous multi-agent systems(MASs)with directed graphs is studied via a model-free reinforcement learning(RL)based fully distribut...
supported in part by the Department of Navy award (N00014-22-1-2159);the National Science Foundation under award (ECCS-2227311)。
This paper presents a risk-informed data-driven safe control design approach for a class of stochastic uncertain nonlinear discrete-time systems.The nonlinear system is modeled using linear parameter-varying(LPV)syste...
This paper proposes and implements a model-free open-loop iterative learning control(ILC)strategy to realize the speed control of the single-phase flux switching motor(FSM)with an asymmetrical rotor.Base on the propos...
supported by the National Nature Science Foundation of China(Grant No.51178343)。
Tram systems with the advantages of reliable operation,comfort,low emissions and moderate capacity have been quite popular in recent years in China.However,there are still problems with tram signal control(e.g.evaluat...
This paper develops a novel hierarchical control strategy for improving the trajectory tracking capability of aerial robots under parameter uncertainties.The hierarchical control strategy is composed of an adaptive sl...
the National Natural Science Foundation of China(61922063,62273255,62150026);in part by the Shanghai International Science and Technology Cooperation Project(21550760900,22510712000);the Shanghai Municipal Science and Technology Major Project(2021SHZDZX0100);the Fundamental Research Funds for the Central Universities。
Dear Editor,In this letter,the multi-objective optimal control problem of nonlinear discrete-time systems is investigated.A data-driven policy gradient algorithm is proposed in which the action-state value function is...
Project supported by the National Natural Science Foundation of China(No.62003213)。
In this paper,the distributed optimization problem is investigated for a class of general nonlinear model-free multi-agent systems.The dynamical model of each agent is unknown and only the input/output data are availa...
This article has the objective of presenting our method to develop and test a motion control system for a heavy-duty hydraulically actuated manipulator,which is part of a newly developed prototype featuring a fully-au...