Quantized adaptive decentralized control for a class of interconnected nonlinear systems with hysteretic actuators faults

Wakeel Khan, Yan Lin, Nasim Ullah, Asier Ibeas, Jorge Herrera

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

© 2018 IEEE. In this paper, a quantized adaptive decentralized output feedback control is proposed for a class of interconnected nonlinear systems with quantized input and possible number of hysteretic actuators failure up to infinity. The hysteretic actuators nonlinearities are described by the Prandtl-Ishlinskii model. In order to compensate the effects of the possible number of the hysteretic actuators failures up to infinity and input quantization, a modified backstepping approach is proposed by utilizing the high-gain k-filters, hyperbolic tangent function property, and bound estimation approach. It is proved both mathematically and by numerical simulations that using the proposed controller, all the signals of the closed-loop system are globally bounded despite of the input quantization and possible number of hysteretic actuators failures up to infinity.
Original languageEnglish
Pages (from-to)6572-6584
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 17 Jan 2018

Keywords

  • Adaptive control
  • Hysteretic actuator failures
  • Interconnected systems
  • Output feedback
  • Quantization

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