A Discontinuous Adaptive Sliding-Mode Observer for a Class of Uncertain Nonlinear Systems *. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Ríos, H.; Efimov, D.; Perruquetti, W.
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 3319
• Page End: 3324
• Publication Date: 2017-07
• Subjects: Adaptive observer -- Sliding-modes -- Nonlinear systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.513
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper the problem of simultaneous state and parameter estimation is studied for a class of uncertain nonlinear systems. A discontinuous adaptive sliding-mode observer is proposed based on a discontinuous nonlinear parameter estimation algorithm. It is shown that such an algorithm provides a rate of convergence faster than exponential. Then, the proposed discontinuous parameter estimation algorithm is included in the structure of a sliding-mode state observer providing an ultimate bound for the full estimation error. Some simulation results illustrate the feasibility of the proposed adaptive sliding-mode observer.