典型文献
                Predictive Control of High-Order Fully Actuated Nonlinear Systems with Time-Varying Delays
            文献摘要:
                    This paper investigates the control problem of high-order fully actuated nonlinear systems with time-varying delays in the discrete-time domain.To make the compensation for time-varying delays concise,active and universal,a novel nonlinear predictive control method is proposed.The designed nonlinear predictive controller can achieve the same expected control performance as the nonlinear systems without delays.At the same time,the necessary and sufficient conditions for the stability of the closed-loop nonlinear predictive control systems are derived.Numerical examples show that the proposed nonlinear predictive controller design method can completely compensate for the time-varying delays of nonlinear systems.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        LIU Guo-Ping
                    
                作者机构:
                    Department of Electronic and Electrical Engineering,Southern University of Science and Technology,Shenzhen 518055,China
                文献出处:
                    
                引用格式:
                    
                        [1]LIU Guo-Ping-.Predictive Control of High-Order Fully Actuated Nonlinear Systems with Time-Varying Delays)[J].系统科学与复杂性学报(英文版),2022(02):457-470
                    
                A类:
                
                B类:
                    Predictive,Control,High,Order,Fully,Actuated,Nonlinear,Systems,Time,Varying,Delays,This,paper,investigates,problem,high,order,fully,actuated,nonlinear,systems,varying,delays,discrete,domain,To,make,compensation,concise,active,universal,novel,predictive,method,proposed,designed,controller,can,achieve,same,expected,performance,as,without,At,necessary,sufficient,conditions,stability,closed,loop,are,derived,Numerical,examples,show,that,completely,compensate
                AB值:
                    0.598816
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