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5 edition of The Modeling of Uncertainty in Control Systems found in the catalog.

The Modeling of Uncertainty in Control Systems

Proceedings of the 1992 Santa Barbara Workshop (Lecture Notes in Control and Information Sciences)

by Roy S. Smith

  • 374 Want to read
  • 4 Currently reading

Published by Springer-Verlag .
Written in English


Edition Notes

ContributionsMohammed Dahleh (Editor)
The Physical Object
Number of Pages391
ID Numbers
Open LibraryOL7444290M
ISBN 100387198709
ISBN 109780387198705

Combining system and uncertainty models into an integrated statistical estimation problem The combination of system and uncertainty models: A key information choice The predictive model combining system and uncertainty components Combining probabilistic and deterministic settings Part I of this book accounts for new developments concerning robustness, systems with two time scales and related treatments utilizing singular perturbation analysis. Part II is mainly concerned with systems in which uncertainty comes out through . This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties .


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The Modeling of Uncertainty in Control Systems by Roy S. Smith Download PDF EPUB FB2

The Modeling of The Modeling of Uncertainty in Control Systems book in Control Systems Proceedings of the Santa Barbara Workshop. Editors: Smith, Roy S., Dahleh, Mohammed (Eds.) Free Preview.

Uncertainty modeling and analysis are becoming an integral part of The Modeling of Uncertainty in Control Systems book definition and modeling in many fields.

The book consists of ten chapters that report the work of researchers, scientists and engineers on theoretical developments and diversified applications in engineering systems. They deal with modeling for vibration, control, and fuzzy analysis of structural and mechanical systems under uncertain Format: Hardcover.

This book serves both as in introduction to the topic and as a reference on the current technical problems and approaches. Keywords Bias Turbine adaptive control control control system diagnosis feedback information measurement process control robust control system identification uncertainty.

The Modeling of Uncertainty in Control Systems: Proceedings of the Santa Barbara Workshop Pramod P. Khargonekar (auth.), Roy S. Smith PhD, Mohammed Dahleh PhD (eds.) This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, th June the modeling of uncertainty in control systems Download the modeling of uncertainty in control systems or read online books in PDF, EPUB, Tuebl, and Mobi Format.

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The book consists of ten chapters that report the work of researchers, scientists and engineers on theoretical developments and diversified applications in engineering systems.

The Modeling of Uncertainty in Control Systems book They deal with modeling for vibration, control, and fuzzy analysis of structural and mechanical systems under uncertain.

This volume contains the papers that have been presented at the Conference on Modeling and Control of Uncertain Systems held in Sopron, Hungary on September, organised within the framework of the activities of the System and Decision Sciences Program of IIASA - the International Institute for Applied Systems Analysis.

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At the heart of robust control is the concept of an uncertain LTI system. Model uncertainty arises when system gains or other parameters are not precisely known, or can vary over a given range.

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By ‘nondeterministic’ we mean that the response of the system is not precisely predictable because of the existence of uncertainty in the system or the environment, or human interaction with the by: Robust control methods seek to bound the uncertainty rather than express it in the form of a distribution.

Given a bound on the uncertainty, the control can deliver results that meet the control system requirements in all cases. Therefore robust control theory might be stated as a worst-case analysis method rather than a typical case method.

Modeling uncertainty in control systems: A process control perspective.- A note on H. system identification with probabilistic a priori information.- A worst. Book Description. Offers New Insight on Uncertainty Modelling.

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tory quality systems, which requires a radiochemical testing laboratory to report with each result its associated measurement uncertainty (NELAC,ch. Note that the concept of. traceability (see Chapter 18) is defined in terms of uncertainty. Trace-ability is defined as the property of the result of a measurement or the value of a.

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