Optimization of a joint sensor placement and robust estimation scheme for distributed parameter processes subject to worst case spatial disturbance distributions

• Published in: 2004 American Control Conference Proceedings; Volume 3 of 6 Vol. 3; pp. 2239 - 2244 vol.3
• Main Authors: Demetriou, M.A., Borggaard, J.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: Piscataway NJ IEEE 01.01.2004; Evanston IL American Automatic Control Council
• Subjects: Actuators; Applied sciences; Computer aided software engineering; Computer science; control theory; systems; Control systems; Control theory. Systems; Distributed parameter systems; Distribution functions; Exact sciences and technology; Mechanical sensors; Modelling and identification; Noise measurement; Riccati equations; Robustness; Sensor systems; Parameter estimation; Transducer position; Spatial distribution; Worst case method; Measurement sensor; Metric; System identification; Distributed parameter system; Optimization; Operating conditions
• ISBN: 9780780383357; 0780383354
• ISSN: 0743-1619
• DOI: 10.23919/ACC.2004.1383795

We consider the development of a systematic optimization process that can be used to locate sensors in distributed parameter systems. We focus on two components in this process: developing a performance metric, and invoking optimization algorithms to find the best location of sensors according to this metric. In choosing a metric, we incorporate the notion of a worst-case, spatially distributed disturbance. The included numerical study uses a variety of second-order parabolic problems.