Anticollocated Backstepping Observer Design for a Class of Coupled Reaction-Diffusion PDEs

Joint Authors

Baccoli, Antonello
Pisano, Alessandro

Source

Journal of Control Science and Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-12-22

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

The state observation problem is tackled for a system of n coupled reaction-diffusion PDEs, possessing the same diffusivity parameter and equipped with boundary sensing devices.

Particularly, a backstepping-based observer is designed and the exponential stability of the error system is proven with an arbitrarily fast convergence rate.

The transformation kernel matrix is derived in the explicit form by using the method of successive approximations, thereby yielding the observer gains in the explicit form, too.

Simulation results support the effectiveness of the suggested design.

American Psychological Association (APA)

Baccoli, Antonello& Pisano, Alessandro. 2015. Anticollocated Backstepping Observer Design for a Class of Coupled Reaction-Diffusion PDEs. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1067752

Modern Language Association (MLA)

Baccoli, Antonello& Pisano, Alessandro. Anticollocated Backstepping Observer Design for a Class of Coupled Reaction-Diffusion PDEs. Journal of Control Science and Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1067752

American Medical Association (AMA)

Baccoli, Antonello& Pisano, Alessandro. Anticollocated Backstepping Observer Design for a Class of Coupled Reaction-Diffusion PDEs. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1067752

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1067752