· 2012
An introduction to event-triggered and self-triggered control
- 1,904citations
- 2012year
Short summary
This paper introduces event-triggered and self-triggered control systems, which perform sensing and actuation only when necessary, unlike traditional periodic methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Event-triggered control samples/acts when a state deviates beyond a threshold.
- Self-triggered control proactively calculates the next sampling/actuation time.
- Both strategies aim to reduce computation and communication in wireless embedded systems.
- Implementation is feasible using current wireless communication technology.
AI-generated from the title and abstract; the full text is not read.
Abstract
Recent developments in computer and communication technologies have led to a new type of large-scale resource-constrained wireless embedded control systems. It is desirable in these systems to limit the sensor and control computation and/or communication to instances when the system needs attention. However, classical sampled-data control is based on performing sensing and actuation periodically rather than when the system needs attention. This paper provides an introduction to event- and self-triggered control systems where sensing and actuation is performed when needed. Event-triggered control is reactive and generates sensor sampling and control actuation when, for instance, the plant state deviates more than a certain threshold from a desired value. Self-triggered control, on the other hand, is proactive and computes the next sampling or actuation instance ahead of time. The basics of these control strategies are introduced together with a discussion on the differences between state feedback and output feedback for event-triggered control. It is also shown how event- and self-triggered control can be implemented using existing wireless communication technology. Some applications to wireless control in process industry are discussed as well.
The authors' abstract, as published at the source., 2012 · DOI ↗
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Field: Control and Systems Engineering
Control and Systems EngineeringEngineering