Digital Controller Implementation and Fragility

ISBN 10: 1852333901 / ISBN 13: 9781852333904

Published by Springer, 2001

About this Item

Like new, never been used.

Seller Inventory # D9781852333904

Bibliographic Details

• Title: Digital Controller Implementation and Fragility
• Publisher: Springer
• Publication Date: 2001
• Language: English
• ISBN 10: 1852333901
• ISBN 13: 9781852333904
• Binding: Hardcover
• Condition: As New
• Dimensions: 2.54W x 16.51H x 23.5D centimeters 2.54 centimeters width by 16.51 centimeters height by 23.5 centimeters depth
• Weight: 612 grams

About this title

Synopsis

In the usual process of control system design, the assumption is made that the controller is implemented exactly. This assumption is usually reasonable, since clearly, the plant uncertainty is the most significant source of uncertainty in the control system, while controllers are implemented with high-precision hardware. However, inevitably, there will be some amount of uncertainty in the controller, a fact that is largely ignored in existing modern advanced robust control techniques. If the controller is implemented by analogue means, there are some tolerances in the analogue components. More commonly, the controller will be implemented digitally, and consequently there will be uncertainty involved with the quantization in the analogue-digital conversion and rounding in the parameter representation and in the numerical computations. A failure to account for these uncertainties in the controller may result in a controller that is "fragile". A controller is fragile in the sense that very small perturbations in the coefficients of the designed controller destabilize the closed-loop control system.
This book collects a number of articles which consider the problems of finite-precision computing in digital controllers and filters. Written by leading researchers, topics that the book covers include:
- analysis of fragility and finite-precision effects;
- design of optimal controller realizations;
- design of non-fragile robust controllers;
- design of low-complexity digital controllers;
- analysis of quantization effects in fuzzy controllers.