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|a 9781846281488
|9 978-1-84628-148-8
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|a 10.1007/1-84628-148-2
|2 doi
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|a TJ212-225
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|a 629.8312
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|a PID Control
|h [electronic resource] :
|b New Identification and Design Methods /
|c edited by Michael A Johnson, Mohammad H. Moradi.
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|a 1st ed. 2005.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2005.
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|a XXVIII, 544 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a PID Control Technology -- Some PID Control Fundamentals -- On-line Model-Free Methods -- Automatic PID Controller Tuning - the Nonparametric Approach -- Relay Experiments for Multivariable Systems -- Phase-Locked Loop Methods -- Phase-Locked Loop Methods and PID Control -- Process Reaction Curve and Relay Methods Identification and PID Tuning -- Fuzzy Logic and Genetic Algorithm Methods in PID Tuning -- Tuning PID Controllers Using Subspace Identification Methods -- Design of Multi-Loop and Multivariable PID Controllers -- Restricted Structure Optimal Control -- Predictive PID Control.
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|a The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include: an introduction to PID control technology features and typical industrial implementations; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text. .
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|a Control engineering.
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|a Dynamics.
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|a Nonlinear theories.
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|a Industrial engineering.
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|a Production engineering.
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|a Engineering design.
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|a System theory.
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|a Control theory.
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|a Control and Systems Theory.
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|a Applied Dynamical Systems.
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|a Industrial and Production Engineering.
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|a Engineering Design.
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|a Systems Theory, Control .
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|a Johnson, Michael A.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Moradi, Mohammad H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781849968973
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776 |
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|i Printed edition:
|z 9781848007345
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|i Printed edition:
|z 9781852337025
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|u https://doi.uam.elogim.com/10.1007/1-84628-148-2
|z Texto Completo
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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