Model error concepts and compensation : proceedings of the IFAC workshop, Boston, USA, 17-18 June 1985
Author(s)
Bibliographic Information
Model error concepts and compensation : proceedings of the IFAC workshop, Boston, USA, 17-18 June 1985
Published for the International Federation of Automatic Control by Pergamon Press, 1986
1st ed.
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Note
Proceedings of the IFAC Workshop on Model Error Concepts and Compensation, sponsored by International Federation of Automatic Control (IFAC), the Mathematics of Control Committee, and the Theory Committee; co-sponsored by the IEEE Control Systems Society and the American Automatic Control Council
Includes bibliographies and index
Description and Table of Contents
Description
Presents a state-of-the-art review of model error concepts, their characterization and compensation in estimation and control problems, with particular emphasis on error propagation, model order selection, performance guarantees, sensitivity and adaptive methods. Main topics covered include linear and nonlinear systems, identification, robotics, computer-aided design, signal processing, computers and communication in control, automation and real time control of processes.
Table of Contents
(partial) Robustness via decentralized control, D D Siljak. Structured uncertainty in control system design, J Doyle. A function space approach to smoothing and model error estimation, G Rodriguez. Linear controller approximation: a method with bounds, B D O Anderson. Model uncertainty, system identification and robust control, G O Correa. The error function in low order modelling of discrete-time systems, K Warwick. Reducing uncertainty in sampled systems, C E Rohrs et al. Approximate filtering, control and interactions in large scale systems, U B DeSai. Controller reduction and analysis of suboptimality and stability of decentralized systems, V Ozguner & A Iftar. Controller design based on approximate plant models, D H Owens. A multivariable approach to distributed parameter systems control using fractional representation theory, M J Balas. On the structure of model errors and the inseparability of the modelling and control problems, R E Skelton.
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