A decoding approach to fault tolerant control of linear systems with quantised disturbance input

Fault tolerant control aims at removing or at least reducing the negative effects of disturbances in an automation system, in order to maintain the best performance as far as possible. Such a task is performed in three steps: the fault detection, the fault identification, and the consequent process...

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Veröffentlicht in:International journal of control Jg. 84; H. 11; S. 1779 - 1795
1. Verfasser: Fosson, Sophie M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis Group 01.11.2011
Taylor & Francis
Taylor & Francis Ltd
Schlagworte:
Algorithms
Applied sciences
Computer science; control theory; systems
Control systems
Control theory. Systems
Decoding
Disturbances
Exact sciences and technology
failure detection
Fault tolerance
Fault tolerant
fault tolerant control
Invariants
Linear systems
low-complexity decoding algorithms
Modelling and identification
quantised input
Studies
low-complexity decoding algorithms
Continuous time
linear systems
Decoding
Flight control
Recursive algorithm
Linear control
Optimization
Fault tolerance
Linear time invariant system
Optimal control
Algorithm complexity
Failure detection
Hybrid model
Quantifier
quantised input
Fault diagnostic
Fault tolerant system
Defect detection
Information theory
fault tolerant control
ISSN:0020-7179, 1366-5820
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Beschreibung
Zusammenfassung:Fault tolerant control aims at removing or at least reducing the negative effects of disturbances in an automation system, in order to maintain the best performance as far as possible. Such a task is performed in three steps: the fault detection, the fault identification, and the consequent process recovery. Let us consider a hybrid model in which a continuous, time invariant, linear system is excited by a quantised disturbance signal: a decoding approach can be undertaken to perform detection and identification. For this purpose, in this article we propose a low-complexity, recursive decoding algorithm, which has been developed using techniques from information and coding theory and here adapted to the control framework. Our aim is to analyse and test the decoding approach to control in the case of binary quantisation, in a flight control scenario. We report both theoretical and simulations' results and derive optimal design criteria.
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ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2011.626455