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Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set Volume 1

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Stochastic Models for Insurance Set Volume 1

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Data Treatment in Environmental Sciences

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

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Exterior Algebras

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Cognitive Approach to Natural Language Processing

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Predictive Control

Daniel Lequesne, Consultant

ISBN: 9781785482625

Publication Date: June 2017   Hardback   300 pp.

130.00 USD

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This work proposes a simple predictive controller where the control laws are given in clear text and require no calculations. Adjustment, reduced to one or two parameters, is particularly easy, by means of charts allowing the operator to choose the horizon according to the desired performances. Implementation is discussed in detail in two forms: RS or RST controller in z-1, and pseudo-code realization algorithms for a complete program (model and controller).
It is simple and practical, with the aim of the industrial implementation of many processes: Broïda models, Strejc, integrators, dual integrators, with delay, or with inverse response. All settings are abundantly illustrated with response curves.
This book is aimed at students wishing to learn predictive control, as well as teachers, engineers and technicians of the profession.


1. Principle.
2. Control Law.
3. Process Models.
4. Implementation.
5. Setting of Stable Systems.
6. Setting of Integrating Systems.
7. Performances and Setting.

About the Authors

Daniel Lequesne began his work in speed variation as a business engineer for Alstom. He continued in instrumentation and process control with Emerson Process Management, before devoting himself to the vocational training of adults in automatic and industrial computer science.


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