Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

查看全文 作　　者：Shuyi [1]SHAO;Mou [1]CHEN

机构地区：[1]College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China

出　　处：《Science China(Information Sciences)》索引2020年第63卷第4期,共3页

基　　金：supported by National Natural Science Foundation of China(Grant No.61573184);Jiangsu Innovation Program for Graduate Education(Grant No.KYLX160375)。 摘　　要：Dear editor,For real-world control systems,there are often system uncertainties caused by modeling errors,disturbances caused by external unknown environments,and saturation caused by physical limitations of the actuator.The above-mentioned problems can not only degrade the performance of the controlled object,but also result in system instability.However,the issues of system uncertainties,input saturation,and external disturbances have seldom been considered in combination in the existing research on the control of continuous-time and discrete-time systems[1–5].In recent years,the utilization of digital computers and samplers in actual control plants has made the controller design based on discrete-time system representation more reasonable than that based on continuoustime representation.Thus,this study presents the design method of a discrete-time adaptive neural(DTAN)tracking control scheme for uncertain discrete-time multi-input and multi-output(MIMO)nonlinear systems with external disturbances and input saturation based on a discretetime sliding mode disturbance observer(SMDO). 关键词：NEURAL SATURATION MODE

相关文献

参考文献（8）
引证文献（5）
耦合文献（10）

参考文献(8)

引证文献(5)

耦合文献(10)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

参考文献(8)

引证文献(5)

耦合文献(10)

用户提示