This paper studies adaptive coordination control of Euler-Lagrange (EL) systems with unknown parameters in systemdynamics and possible switching topology.By introducing a novel adaptive control architecture,decentrali...This paper studies adaptive coordination control of Euler-Lagrange (EL) systems with unknown parameters in systemdynamics and possible switching topology.By introducing a novel adaptive control architecture,decentralized controllers are developed,which allow for parametric uncertainties.Based upon graph theory,Lyapunov theory and switching control theory,the stability of the proposed algorithms are demonstrated.A distinctive feature of this work is to address the coordination control of EL systems with unknown parameters and switching topology in a unified theoretical framework.It is shown that both static and dynamic coordinations can be reached even when the communication is switching.Simulation results are provided to demonstrate the effectiveness of the obtained results.展开更多
The problem of distributed coordinated tracking control for networked Euler-Lagrange systems without velocity measurements is investigated. Under the condition that only a portion of the followers have access to the l...The problem of distributed coordinated tracking control for networked Euler-Lagrange systems without velocity measurements is investigated. Under the condition that only a portion of the followers have access to the leader, sliding mode estimators are developed to estimate the states of the dynamic leader in finite time. To cope with the absence of velocity measurements, the distributed observers which only use position information are designed. Based on the outputs of the estimators and observers, distributed tracking control laws are proposed such that all the fol- lowers with parameter uncertainties can track the dynamic leader under a directed graph containing a spanning tree. It is shown that the distributed observer-controller guarantees asymptotical stability of the closed-loop system. Numerical simulations are worked out to illustrate the effectiveness of the control laws.展开更多
基金Supported by National Natural Science Foundation of China(61203354,61004021,61174069)National Basic Research Program of China(973 Program)(2012CB821206)+1 种基金Beijing Natural Science Foundation(4122037)the Ph.D.Programs Foundation of Ministry of Education of China(20110002110015)
文摘This paper studies adaptive coordination control of Euler-Lagrange (EL) systems with unknown parameters in systemdynamics and possible switching topology.By introducing a novel adaptive control architecture,decentralized controllers are developed,which allow for parametric uncertainties.Based upon graph theory,Lyapunov theory and switching control theory,the stability of the proposed algorithms are demonstrated.A distinctive feature of this work is to address the coordination control of EL systems with unknown parameters and switching topology in a unified theoretical framework.It is shown that both static and dynamic coordinations can be reached even when the communication is switching.Simulation results are provided to demonstrate the effectiveness of the obtained results.
基金supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61321002)the Projects of Major International(Regional)Joint Research Program(61120106010)+5 种基金the National Natural Science Foundation of China(61175112)the Beijing Education Committee Cooperation Building Foundation Projectthe Program for Changjiang Scholars and Innovative Research Team in University(IRT1208)the Changjiang Scholars Programthe Science and Technology Project of Education Department of Fujian Province(JA12370)the Beijing Outstanding Ph.D.Program Mentor Grant(20131000704)
文摘The problem of distributed coordinated tracking control for networked Euler-Lagrange systems without velocity measurements is investigated. Under the condition that only a portion of the followers have access to the leader, sliding mode estimators are developed to estimate the states of the dynamic leader in finite time. To cope with the absence of velocity measurements, the distributed observers which only use position information are designed. Based on the outputs of the estimators and observers, distributed tracking control laws are proposed such that all the fol- lowers with parameter uncertainties can track the dynamic leader under a directed graph containing a spanning tree. It is shown that the distributed observer-controller guarantees asymptotical stability of the closed-loop system. Numerical simulations are worked out to illustrate the effectiveness of the control laws.
