Event-Triggering in Distributed Networked Control Systems

This paper examines event-triggered data transmission in distributed networked control systems with packet loss and transmission delays. We propose a distributed event-triggering scheme, where a subsystem broadcasts its state information to its neighbors only when the subsystem's local state er...

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Vydané v:IEEE transactions on automatic control Ročník 56; číslo 3; s. 586 - 601
Hlavní autori: Xiaofeng Wang, Lemmon, M D
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.03.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Applied sciences
Asymptotic properties
Broadcasting
Communication system control
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Control system analysis
Control systems
Control theory. Systems
Costs
Delay
Design engineering
Distributed systems
Dropouts
event-triggering
Exact sciences and technology
Filtering theory
Linear matrix inequalities
Linear systems
Networked control systems
networked control systems (NCS)
Nonlinearity
Postal services
Process control. Computer integrated manufacturing
Propagation losses
Sampled data
Software
Packet switching
Decision making
Deadline
event-triggering
Distributed system
Transmission zero
Transmission time
Bounded delay
Multicast
Asymptotic stability
Input to state stability
Distributed systems
Distributed control
Linear matrix inequality
Data transmission network
Feasibility
Finite gain
Transmission loss
networked control systems (NCS)
Triggering
Discrete event system
ISSN:0018-9286, 1558-2523
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Shrnutí:This paper examines event-triggered data transmission in distributed networked control systems with packet loss and transmission delays. We propose a distributed event-triggering scheme, where a subsystem broadcasts its state information to its neighbors only when the subsystem's local state error exceeds a specified threshold. In this scheme, a subsystem is able to make broadcast decisions using its locally sampled data. It can also locally predict the maximal allowable number of successive data dropouts (MANSD) and the state-based deadlines for transmission delays. Moreover, the designer's selection of the local event for a subsystem only requires information on that individual subsystem. Our analysis applies to both linear and nonlinear subsystems. Designing local events for a nonlinear subsystem requires us to find a controller that ensures that subsystem to be input-to-state stable. For linear subsystems, the design problem becomes a linear matrix inequality feasibility problem. With the assumption that the number of each subsystem's successive data dropouts is less than its MANSD, we show that if the transmission delays are zero, the resulting system is finite-gain Lp stable. If the delays are bounded by given deadlines, the system is asymptotically stable. We also show that those state-based deadlines for transmission delays are always greater than a positive constant.
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ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2010.2057951