Title
Sliding mode identification and control for a class of nonlinear systems
Abstract
In this work, the problem of designing a control scheme capable of controlling dynamical systems with unknown time-varying parameters and disturbances, is proposed. In contrast with other works, based on two techniques: adaptive backstepping and sliding modes, an improved method that guaranties the output asymptotic tracking of a smooth reference signal, the stability of the closed-loop system and the identification errors boundedness, is developed. By means of sliding mode observers, the adaptation errors required information is extracted and injected to adaptive laws. The behavior of the proposed control scheme is analyzed by Lyapunov method. The performance of the proposed system is verified with an academic example.
Year
DOI
Venue
2018
10.1109/VSS.2018.8460210
2018 15th International Workshop on Variable Structure Systems (VSS)
Keywords
Field
DocType
nonlinear systems,control scheme,dynamical systems,unknown time-varying parameters,adaptive backstepping,output asymptotic tracking,smooth reference signal,closed-loop system,identification errors boundedness,adaptation errors,Lyapunov method,sliding mode identification,sliding mode observers
Lyapunov function,Backstepping,Nonlinear system,Computer science,Adaptive system,Control theory,Dynamical systems theory,Manifold
Conference
ISBN
Citations 
PageRank 
978-1-5386-6440-7
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
marco mezaaguilar100.68
Loukianov, Alexander G.23010.04
Jorge Rivera3316.86
antonio navarreteguzman401.01