典型文献
                Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems
            文献摘要:
                    This paper investigates the problem of dynamic output-feedback control for a class of Lipschitz nonlinear systems. First, a continuous-time controller is constructed and su?cient conditions for stability of the nonlinear systems are presented. Then, a novel event-triggered mechanism is proposed for the Lipschitz nonlinear systems in which new event-triggered conditions are introduced. Consequently, a closed-loop hybrid system is obtained using the event-triggered control strategy. Su?cient conditions for stability of the closed-loop system are established in the framework of hybrid systems. In addition, an upper bound of a minimum inter-event interval is provided to avoid the Zeno phenomenon. Finally, numerical examples of a neural network system and a genetic regulatory network system are provided to verify the theoretical results and to show the superiority of the proposed method.
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                中图分类号:
                    作者姓名:
                    
                        Zhiqian LIU;Xuyang LOU;Jia jia JIA
                    
                作者机构:
                    Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Jiangnan University,Wuxi 214122,China
                文献出处:
                    
                引用格式:
                    
                        [1]Zhiqian LIU;Xuyang LOU;Jia jia JIA-.Event-triggered dynamic output-feedback control for a class of Lipschitz nonlinear systems)[J].信息与电子工程前沿(英文),2022(11):1684-1699
                    
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                B类:
                    Event,triggered,dynamic,output,feedback,class,Lipschitz,nonlinear,systems,This,paper,investigates,problem,First,continuous,controller,constructed,cient,conditions,stability,are,presented,Then,novel,event,mechanism,proposed,which,new,introduced,Consequently,closed,loop,hybrid,obtained,using,strategy,Su,established,framework,In,addition,upper,bound,minimum,interval,provided,avoid,Zeno,phenomenon,Finally,numerical,examples,neural,network,genetic,regulatory,verify,theoretical,results,show,superiority,method
                AB值:
                    0.520873
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