Éverton dos Santos Viana , João M. Gomes da Silva Jr , Luciano G. Moreira , Daniel Sbarbaro
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Event-triggered control for output regulation of discrete-time systems
This paper focuses on the design of event-triggered control mechanisms to achieve output regulation for discrete-time linear systems. It considers an observer-based state feedback controller and proposes conditions to design an event-triggered mechanism that maintains exact regulation while reducing control updates during the transient response. Since for periodic references the event-triggered policy degenerates into a time-triggered policy in steady state, that is, events are generated at each time instant, a relaxed triggering criterion is proposed. This mechanism leads to a practical output regulation with an acceptable error bound. For both the exact and practical cases, conditions in the form of linear matrix inequalities are derived to design the trigger mechanism parameters guaranteeing the closed-loop stability. Optimization problems are therefore proposed to tune these parameters to balance the control updating reduction and the tolerance for output regulation errors in steady state. A numerical example is provided to illustrate the methodology.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.