LMI-based robust tracking of a class of MIMO nonlinear systems

被引:0
作者
Arunima Mukherjee
Aparajita Sengupta
机构
[1] Indian Institute of Engineering Sciences and Technology,Department of Electrical Engineering
[2] Shibpur,undefined
来源
Sādhanā | 2019年 / 44卷
关键词
Nonlinear systems; Linear Matrix Inequality; reference tracking; MIMO systems; observer-based feedback controller; norm-bounded parametric uncertainties;
D O I
暂无
中图分类号
学科分类号
摘要
Reference tracking problem for MIMO Lipschitz nonlinear systems is examined here. Presently a vast literature exists on observer design of unforced systems containing Lipschitz nonlinearities. However, these existing results cannot be readily extended for controller design containing reference tracking ability. Here a Linear State Variable Feedback (LSVF) controller is designed for MIMO Lipschitz nonlinear systems with norm-bounded parametric uncertainties using the concept of input to state stability Lyapunov functions. The whole problem is cast into a framework of Linear Matrix Inequalities, to exploit its numerical capabilities. Analytical proofs are supplemented with simulation examples, which show certain advantages over existing results. Apart from state feedback, observer-based output feedback is also considered for controller design.
引用
收藏
相关论文
共 47 条
[1]  
Sokolov VF(2003)Adaptive suboptimal tracking for a first-order object under Lipschitz uncertainty Automation and Remote Control 64 457-467
[2]  
Zhang T(2009)Adaptive neural network tracking control of MIMO nonlinear systems with unknown dead zones and control directions IEEE Transactions on Neural Networks 20 483-497
[3]  
Ge SS(2000)Dynamic surface control for a class of nonlinear systems IEEE Transactions on Automatic Control 45 1893-1899
[4]  
Swaroop D(1983)Tracking control of non-linear systems using sliding surfaces, with application to robot manipulators International Journal of Control 38 465-492
[5]  
Hedrick JK(2013)On LMI conditions to design observers for Lipschitz nonlinear systems Automatica 49 585-591
[6]  
Yip PP(2013)On LMI conditions to design observer based controllers for linear systems with parameter uncertainties Automatica 49 3700-3704
[7]  
Gerdes JC(2008)Novel LMI conditions for observer-based stabilization of Lipschitzian nonlinear systems and uncertain linear systems in discrete-time Applied Mathematics and Computation 206 579-588
[8]  
Slotine JJ(2001)Fuzzy tracking control design for nonlinear dynamic systems via TS fuzzy model IEEE Transactions on Fuzzy Systems 9 381-392
[9]  
Sastry SS(2011)An enhanced LMI approach for mixed H Chinese Journal of Aeronautics 24 324-328
[10]  
Zemouche A(1994)/ Mathematics of Control, Signals and Systems 7 95-120