Architectures for Distributed Controller With Sub-Controller Communication Uncertainty

Recent technology has led to systems with architectures that distribute the controller effort over sub-controllers to respect information flow and/or resource constraints. The associated communication uncertainty between sub-controllers partly governs the performance of the controller. The related c...

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Bibliographic Details
Published in:IEEE transactions on automatic control 2010-08, Vol.55 (8), p.1765-1780
Main Authors: Yadav, V, Salapaka, M V, Voulgaris, P G
Format: Article
Language:English
Subjects:
Adaptative systems
Applied sciences
Architecture
Banded structure
Channels
Communication channels
communication noise
Communication system control
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Control system synthesis
Control systems
Control theory. Systems
coprime factorization
Design engineering
Distributed control
distributed system
Exact sciences and technology
Information flow
Information systems. Data bases
Measurement
Memory organisation. Data processing
nested system
observer based controller
Optimization
Optimization methods
Robustness
Software
Stability
structured system
Synthesis
Uncertainty
Youla parameter
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Description
Summary:Recent technology has led to systems with architectures that distribute the controller effort over sub-controllers to respect information flow and/or resource constraints. The associated communication uncertainty between sub-controllers partly governs the performance of the controller. The related controller synthesis methodology has to address internal stability concerns and has to incorporate the effect of communication uncertainty into the performance metric. In this article, it is demonstrated that different canonical distributed architectures derived from a centralized design can result in appreciably different performance. Architectures of information flow that result in convex optimization problems are developed and synthesis methods to incorporate robustness with respect to model uncertainty of communication channels are obtained. The efficacy of the approach is demonstrated on application problems.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2010.2047422