Robust Observer for a Class of Nonlinear SISO Dynamical Systems
Joint Authors
Almeida, David I. Rosas
Rascón, Raul
Alvarez, Joaquín
Rosas, Patricia
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A procedure to design an asymptotically stable second-order sliding mode observer for a class of single input single output (SISO) nonlinear systems in normal form is presented.
The observer converges to the system state in spite of the existence of bounded disturbances and parameter uncertainties affecting the system dynamics.
At the same time, the observer estimates the disturbances without the use of an additional filter to recover the equivalent control.
The observer design is modular; each module of the observer is applied to each equation of state of the plant.
Because of this, the proposed observer can be applied to a broader class of dynamic systems.
The performance of the observer is illustrated in numerical and experimental form.
American Psychological Association (APA)
Almeida, David I. Rosas& Alvarez, Joaquín& Rosas, Patricia& Rascón, Raul. 2016. Robust Observer for a Class of Nonlinear SISO Dynamical Systems. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112421
Modern Language Association (MLA)
Almeida, David I. Rosas…[et al.]. Robust Observer for a Class of Nonlinear SISO Dynamical Systems. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112421
American Medical Association (AMA)
Almeida, David I. Rosas& Alvarez, Joaquín& Rosas, Patricia& Rascón, Raul. Robust Observer for a Class of Nonlinear SISO Dynamical Systems. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112421
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112421