Adaptive Control Strategies for Industrial Use Proceedings of a Workshop Kananaskis, Canada, 1988 / edited by Sirish L. Shah, Guy Dumont.

The objective of this workshop was to bring together engineers from industry and scientists from universities to focus attention on new developments and practical enhancements for using adaptive control in industry. The workshop provided a forum for a tutorial introduction to the state-of-the-art in...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Shah, Sirish L. (Editor), Dumont, Guy (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1989.
Edition:1st ed. 1989.
Series:Lecture Notes in Control and Information Sciences, 137
Springer eBook Collection.
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Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Self-tuning multistep optimisation controllers
  • Information and integrated control
  • Multivariable self-tuning control based on laguerre series representation
  • Direct adaptive control with time delay mismatch
  • DIRAC : A finite impulse response direct adaptive controller
  • Adaptive pole assignment control by means of adaptive observer
  • Adaptive control: Implementation and application issues
  • On the role of prefiltering in parameter estimation and control
  • Experimental evaluation of adaptive control in the presence of disturbances and model-plant mismatch
  • Industrial application of an adaptive algorithm to overhead composition control
  • Industrial applications of a new adaptive estimator for inferential control
  • Adaptive estimation and control of biotechnological processes
  • Blood pressure postoperative treatment: Model reference adaptive control with constraints
  • Power system damping: A simulation program and enhanced LQ self-tuning strategies
  • Adaptive control of nonlinear mechanical systems
  • Flexible mechanical structures adaptive control
  • Evaluation of an industrial pid autotuner
  • Self-tuning versus adaptive-predictive controllers
  • Symbolically enhanced parameter estimation for reliable adaptive control
  • Two degrees of freedom PID auto-tuning controller based on frequency region methods.