Event-triggered adaptive optimal control using output feedback: An adaptive dynamic programming approach

Fuyu Zhao, Zhong Ping Jiang, Tengfei Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper proposes an event-triggered adaptive optimal output-feedback control method for continuous-time linear systems. With the proposed design, the unmeasurable states are reconstructed by using the measurable input and output data, and the discrete-time algebraic Riccati equation is iteratively solved through adaptive dynamic programming. Then, an event-based feedback strategy is introduced to the closed-loop system to reduce the communication between the controller and the plant. Convergence to the optimal solution and the closed-loop stability analysis are carried out by using Lyapunov method. Two numerical examples are employed to verify the effectiveness of the design.

Original languageEnglish (US)
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9789881563972
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: Jul 27 2019Jul 30 2019

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927


Conference38th Chinese Control Conference, CCC 2019


  • Adaptive dynamic programming
  • Event-triggered feedback
  • Output feedback

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modeling and Simulation


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