Event-based nonlinear control: From centralized to decentralized systems

Tengfei Liu, Zhong Ping Jiang

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

Abstract

This paper develops a new decentralized event-triggered control strategy for large-scale nonlinear systems. The control systems are assumed to be transformable into an interconnection of input-to-state stable (ISS) subsystems with the sampling errors as the inputs. For the subsystems, the events of data sampling are triggered by appropriately choosing threshold signals, which are independent with each other for the decentralized implementation. Through an ISS small-gain design, infinitely fast sampling can be avoided for each subsystem and asymptotic regulation is achievable for the large-scale system.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages690-695
Number of pages6
ISBN (Electronic)9781467391047
DOIs
StatePublished - Sep 28 2015
Event2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics - Yunnan, China
Duration: Aug 8 2015Aug 10 2015

Publication series

Name2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics

Other

Other2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
Country/TerritoryChina
CityYunnan
Period8/8/158/10/15

Keywords

  • Decentralized control
  • event-triggered control
  • input-to-state stability (ISS)
  • large-scale systems
  • nonlinear systems
  • small-gain theorem

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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