A Switching Control Scheme With Increment Estimate of Unmodelled Dynamics

Yajun Zhang, Hong Niu, Xinkai Chen, Jinmei Tao, Xusheng Li

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a new switching control scheme for controlling a class of nonlinear discrete-time dynamical systems. The key idea behind the proposed control techniques lies in a decomposition of unmodeled dynamics, that is, the unmodelled dynamics are decomposed as a sum of a known function depending on the data from the posterior unmodeled dynamics measurement and an unknown increment. The control algorithm is based on a novel estimation algorithm for the increment of unmodeled dynamics, which contributes two nonlinear controllers. The theoretical results on both convergence and stability of the closed-loop system are given. The system performance is evaluated by some simulation results.

Original languageEnglish
JournalIEEE Transactions on Industrial Informatics
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Asymptotic stability
  • Closed loop systems
  • Convergence
  • data driven
  • Heuristic algorithms
  • Informatics
  • Nonlinear dynamical systems
  • nonlinear systems
  • stability and convergence
  • Switches
  • switching
  • Unmodeled dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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