Process Modelling Identification And Control
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Process Modelling Identification and Control
Author | : Ján Mikleš,Miroslav Fikar |
Publsiher | : Springer Science & Business Media |
Total Pages | : 480 |
Release | : 2007-06-30 |
Genre | : Technology & Engineering |
ISBN | : 9783540719700 |
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This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in a single volume. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for students, practicing engineers and researchers interested in modeling and control of processes. Well written and easily understandable, it includes a range of methods for the analysis and design of control systems.
Process Modelling Identification and Control
Author | : Ján Mikleš |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2007 |
Genre | : Chemical process control |
ISBN | : OCLC:1035654124 |
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Process Modelling Identification and Control
Author | : Ján Mikleš,Miroslav Fikar |
Publsiher | : Unknown |
Total Pages | : 170 |
Release | : 2000 |
Genre | : Chemical process control |
ISBN | : 8022713317 |
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An Introduction to Process Modelling Identification and Control for Engineers
Author | : Rames C. Panda,T. Thyagarajan |
Publsiher | : Unknown |
Total Pages | : 457 |
Release | : 2017 |
Genre | : Chemical process control |
ISBN | : 1783323280 |
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Advanced Process Identification and Control
Author | : Enso Ikonen,Kaddour Najim |
Publsiher | : CRC Press |
Total Pages | : 336 |
Release | : 2001-10-02 |
Genre | : Science |
ISBN | : 082470648X |
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A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.
Process Modelling Identification and Control
Author | : Ján Mikleš,Miroslav Fikar |
Publsiher | : Unknown |
Total Pages | : 260 |
Release | : 2004 |
Genre | : Chemical process control |
ISBN | : 8022721328 |
Download Process Modelling Identification and Control Book in PDF, Epub and Kindle
Advanced Process Identification and Control
Author | : Enso Ikonen,Kaddour Najim |
Publsiher | : CRC Press |
Total Pages | : 328 |
Release | : 2001-10-02 |
Genre | : Science |
ISBN | : 9781482294699 |
Download Advanced Process Identification and Control Book in PDF, Epub and Kindle
A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable
Multivariable System Identification For Process Control
Author | : Y. Zhu |
Publsiher | : Elsevier |
Total Pages | : 372 |
Release | : 2001-10-08 |
Genre | : Technology & Engineering |
ISBN | : 9780080537115 |
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Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited. The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabTM M-files, designed to help the reader to learn identification in a computing environment, are included.