Event-triggered robust RHC of continuous-time nonlinear systems

Huiping Li, Yang Shi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The event-triggered control is of compelling features in exploiting system resources, and thus has found many applications in sensor networks, networked control systems, multi-agent systems, and so on. In this chapter, we study the event-triggered RHC problem for continuous-time nonlinear systems subject to bounded disturbances. An event-triggered mechanism is first designed by measuring the error between the system state and its optimal prediction; the event-triggered RHC algorithm, built upon the triggering mechanism and the dual-mode approach, is then designed. The rigorous analysis of the feasibility and stability are conducted, and the sufficient conditions for ensuring the feasibility and stability are developed. We show that the feasibility of the event-triggered RHC algorithm can be guaranteed if, the prediction horizon is designed properly and the disturbances are small enough. Furthermore, it is shown that the stability is related to the prediction horizon, the disturbance bound and the triggering level, and that the closed-loop system is stabilized into a robust invariant set under the proposed conditions. Finally, a case study is provided to verify the theoretical results.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages163-181
Number of pages19
DOIs
StatePublished - 2017

Publication series

NameStudies in Systems, Decision and Control
Volume83
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Fingerprint

Dive into the research topics of 'Event-triggered robust RHC of continuous-time nonlinear systems'. Together they form a unique fingerprint.

Cite this