4.7 Article

A Framework for the Event-Triggered Stabilization of Nonlinear Systems

Journal

IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 60, Issue 4, Pages 982-996

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2014.2363603

Keywords

Event-triggered control; hybrid systems; networked control systems; nonlinear systems; sampled-data

Funding

  1. European 7th Framework Network of Excellence Highly-complex and networked control systems (HYCON2) [257462]
  2. NSF [1035916, 1239085]
  3. Australian Research Council
  4. Direct For Computer & Info Scie & Enginr [1239037] Funding Source: National Science Foundation
  5. Direct For Computer & Info Scie & Enginr
  6. Division Of Computer and Network Systems [1239085] Funding Source: National Science Foundation
  7. Division Of Computer and Network Systems [1239037] Funding Source: National Science Foundation
  8. Division Of Computer and Network Systems
  9. Direct For Computer & Info Scie & Enginr [1035916, 1724457] Funding Source: National Science Foundation

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Event-triggered control consists of closing the feedback loop whenever a predefined state-dependent criterion is satisfied. This paradigm is especially well suited for embedded systems and networked control systems since it is able to reduce the amount of communication and computation resources needed for control, compared to the traditional periodic implementation. In this paper, we propose a framework for the event-triggered stabilization of nonlinear systems using hybrid systems tools, that is general enough to encompass most of the existing event-triggered control techniques, which we revisit and generalize. We also derive two new event-triggering conditions which may further enlarge the inter-event times compared to the available policies in the literature as illustrated by two physical examples. These novel techniques exemplify the relevance of introducing additional variables for the design of the triggering law. The proposed approach as well as the new event-triggering strategies are flexible and we believe that they can be used to address other event-based control problems.

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