NDLI: Finite Horizon Control Design for Optimal Discrimination between Several Models

Content Provider	IEEE Xplore Digital Library
Author	Blackmore, L. Williams, B.
Copyright Year	2006
Description	Author affiliation: Massachusetts Inst. of Technol., Cambridge, MA (Blackmore, L.; Williams, B.)
Abstract	Multiple-model fault detection is a powerful method for detecting changes, such as faults, in dynamic systems. In many cases, the ability of such a detection scheme to distinguish between possible models for the system dynamics depends critically on the control inputs applied to the system. Prior work has therefore aimed to design control inputs in order to improve fault detection. We previously developed a new method that uses constrained finite horizon control design to create control inputs that minimize an upper bound on the probability of model selection error. This method is limited, however, to the problem of selection between two models. In this paper we describe a new method that extends this approach to handle an arbitrary number of models. By optimizing subject to hard constraints, the new method can ensure that a defined task is fulfilled, while optimally discriminating between models. This means that the discrimination power of the designed control input can be much greater than that created by other approaches, which typically design 'auxiliary' signals with limited power so that the effect on the system state is small. Furthermore, the optimization criterion, which is an upper bound on the probability of model selection error, has a more meaningful interpretation than alternative approaches that are based on information gain, for example. We demonstrate the method using an aircraft fault detection scenario and show that the new method significantly reduces the bound on the probability of error when compared to a manually generated identification sequence and a fuel-optimal sequence
Starting Page	1147
Ending Page	1152
File Size	7529506
Page Count	6
File Format	PDF
ISBN	1424401712
DOI	10.1109/CDC.2006.377045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control design Power system modeling Fault detection Upper bound Signal design Error correction Constraint optimization Control systems Aircraft Fault diagnosis
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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