Event-triggered adaptive control of a class of nonlinear systems

Jiangshuai Huang, Qing Guo Wang

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


In this paper, the event-triggered adaptive control for a class of nonlinear systems in Brunovsky form is considered. The sensors are event-triggered thus the states are transmitted only at the discrete triggering points, which are more efficient in using communication bandwidth. To solve this problem, we design a set of event-triggered conditions and based on which the controller and parameter estimator are designed without the ISS assumption. It is shown that the proposed control schemes guarantee that all the closed-loop signals are semi-globally bounded and the stabilization error converges to the origin asymptotically. The Zeno behavior is also excluded. Simulation results illustrate the effectiveness of our scheme.

Original languageEnglish
Pages (from-to)10-16
Number of pages7
JournalISA Transactions
Publication statusPublished - Nov 2019


  • Adaptive control
  • Cyber–physical systems
  • Event-triggered control
  • Sensor triggering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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