典型文献
                Event-Triggered Adaptive Fuzzy Finite Time Control of Fractional-Order Non-Strict Feedback Nonlinear Systems
            文献摘要:
                    In this article,the problem of event-triggered adaptive fuzzy finite time control of non-strict feedback fractional order nonlinear systems is investigated.By using the property of fuzzy basis function,the obstacle caused by algebraic loop problems is successfully circumvented.Moreover,a new adaptive event-triggered scheme is designed under the unified framework of backstepping control method,which can largely reduce the amount of communications.The stability of the closed-loop system is ensured through fractional Lyapunov stability analysis.Finally,the effectiveness of the proposed scheme is verified by simulation examples.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        XIN Chun;LI Yuanxin;NIU Ben
                    
                作者机构:
                    College of Science,Liaoning University of Technology,Jinzhou 121001,China;School of Information Science and Engineering,Shandong Normal University,Jinan 250014,China
                文献出处:
                    
                引用格式:
                    
                        [1]XIN Chun;LI Yuanxin;NIU Ben-.Event-Triggered Adaptive Fuzzy Finite Time Control of Fractional-Order Non-Strict Feedback Nonlinear Systems)[J].系统科学与复杂性学报(英文版),2022(06):2166-2180
                    
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                    Event,Triggered,Adaptive,Fuzzy,Finite,Time,Control,Fractional,Order,Strict,Feedback,Nonlinear,Systems,In,this,article,event,triggered,adaptive,fuzzy,finite,control,strict,feedback,fractional,order,nonlinear,systems,investigated,By,using,property,basis,function,obstacle,caused,by,algebraic,loop,problems,successfully,circumvented,Moreover,new,scheme,designed,under,unified,framework,backstepping,method,which,can,largely,reduce,amount,communications,stability,closed,ensured,through,Lyapunov,analysis,Finally,effectiveness,proposed,verified,simulation,examples
                AB值:
                    0.75082
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