Sliding control of MIMO nonlinear systems
Thor I. Fossen, Bjarne Foss
- 发表年份
- 1991
- 引用次数
- 22
- 访问权限
- 开放获取
摘要
. Sliding control of MIMO (multivariable input-multivariable output) nonlinear minimum phase systems is discussed. Stability conditions related to model errors are emphasized. Global asymptotic stability is guaranteed by applying Barbalat's Lyapunov-like lemma. The control law is applied to a simulator of a polymerization reactor. Keywords. Feedback Linearization, Sliding Control, Lyapunov Stability Theory, Polymerization Reactor. 1 INTRODUCTION The major problem with feedback linearization techniques is robustness due to imprecise cancellations of the model nonlinearities. In the case of parametric uncertainties, global asymptotically stable controllers may be found by using the Lyapunov stability theory. Well known techniques, arising from this approach are adaptive feedback linearization and sliding control which both have been successfully applied in robotic control [5]. Sliding control has also been applied in the control of underwater vehicles which are highly nonlinear and ti...
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991