Quantized adaptive decentralized control for interconnected nonlinear systems with actuator faults

Date

2017-10-10

Advisors

Journal Title

Journal ISSN

ISSN

0096-3003

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

This paper studies quantized adaptive decentralized output feedback control technique for a class of interconnected nonlinear systems with quantized input and possible number of actuator failures up to infinity. A modified backstepping approach is proposed by the use of high-gain k-filters, hyperbolic tangent function property and bound-estimation approach to compensate for the effect of possible number of actuator failures up to infinity and input quantization. It is proved both mathematically and by simulation that, all the signals of the closed-loop system are globally bounded despite of input quantization and possible number of actuator failures up to infinity.

Description

Keywords

Adaptive control, Actuator failures, Interconnected systems, Output feedback, Quantization

Citation

Khan, W., Lin, Y., Khan, S. and Ullah, N. (2018) Quantized adaptive decentralized control for interconnected nonlinear systems with actuator faults. Applied Mathematics and Computation, 320, pp. 175-189.

Rights

Research Institute

Cyber Technology Institute (CTI)