Skip to main content
Elsevier

Model Error Concepts & Compensation

Proceedings of the IFAC Workshop, Boston, USA, 17-18 June 1985

  • 1st Edition - June 30, 1986
  • Latest edition
  • Editors: R.E. Skelton, D.H. Owens
  • Language: English

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… Read more

Data Mining & ML

Unlock the cutting edge

Up to 20% on trusted resources. Build expertise with data mining, ML methods.

Explore now

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.

Readership

Of interest to industrial, mechanical, control, electrical and electronic engineers and systems and computer scientists.

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.

Product details

  • Edition: 1
  • Latest edition
  • Published: December 5, 2014
  • Language: English

About the editors

RS

R.E. Skelton

Affiliations and expertise
Purdue University, IN, USA

DO

D.H. Owens

Affiliations and expertise
University of Strathclyde, Glasgow, UK