Ekquential algorithms for prediction, jiltering and smoothing are developed for a class of linear distributed-parameter system. The class of systems concerned is that involving noisy measurement data which are obtained frovn "averaging" and "scanner''-type sensors. Tk basic tools of the development
PC environment for simulation and parameter estimation of distributed parameter systems
β Scribed by N. Point; A. Vande Wouwer; M. Remy; M. Zeitz
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 774 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0378-4754
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β¦ Synopsis
Point, N., A. Vande Wouwer, M. Remy and M. Zeitz, PC environment for simulation and parameter estimation of distributed parameter systems, Mathematics and Computers in Simulation 35 (1993) 481-491.
1. Introduction
Many works in the field of distributed parameter systems have demonstrated that the use of model-based control techniques can be worthwhile. For instance, several studies concerning steel and ceramics industrial furnaces have been reported [1,4,5,; they have led to significant energy savings and increased productivity.
Models describing the dynamic behaviour of such systems consist of a set of nonlinear ordinary and partial differential equations (ODES and PDEs) and algebraic equations (AEs), mostly containing unknown parameters. Therefore, the aim of the modelling work is to develop a sufficiently simple and flexible simulation program that could be used for parameter estimation by the minimization of an output error criterion. Moreover, such a program has to serve for model-based control design.
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