Decentralized Model Reference Adaptive Control for Systems With Time Delays and Dead Zones

Zhengqiang Zhang, Chen Yang, Xinkai Chen

Research output: Contribution to journalArticlepeer-review


The decentralized robust model reference adaptive control (MRAC) problem is studied for a class of large-scale systems with unknown plant parameters, unknown time-varying delayed interconnections, and unknown dead-zone inputs. Two robust adaptive control schemes are proposed for the cases of symmetric dead-zone input and asymmetric dead-zone input under the assumption of moderate time-delay nonlinearity and the matching conditions of the plant model and the reference model matrix, respectively. The control gain function is explicitly expressed, and its useful properties are established. The Lyapunov-Krasovskii functional with two integral functions is constructed. It is shown that all signals in the closed-loop system are bounded and the state tracking error converges exponentially to a tunable region. The effectiveness and feasibility of the proposed design approach is illustrated by a simulation example.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalIEEE Transactions on Automatic Control
Publication statusAccepted/In press - 2022


  • Adaptation models
  • Adaptive control
  • Control systems
  • Dead zone
  • decentralized adaptive control
  • Delay effects
  • Delays
  • model reference adaptive control (MRAC)
  • Symmetric matrices
  • time delay
  • Time-varying systems

ASJC Scopus subject areas

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


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