Predictive control : fundamentals and developments

"Systematically introduces fundamental concepts, basic algorithms, and applications of MPC -Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches - Features numerous MPC models and structures, based on rigorous research -Based on the best-sellin...

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Bibliographic Details
Main Authors: Xi, Yugeng, 1946- (Author), Li, Dewei (Computer scientist), (Author)
Format: eBook
Language: English
Published: Singapore ; Hoboken, NJ : John Wiley & Sons Singapore Pte. Ltd, 2019.
Edition: First edition.
Subjects:
ISBN: 9781119119586
1119119588
9781119119593
1119119596
9781119119579
111911957X
9781119119548
Physical Description: 1 online resource (xiii, 377 pages)

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LEADER 06451cam a2200517 i 4500
001 kn-on1084630879
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006 m o d
007 cr cn|||||||||
008 190204s2019 si a ob 001 0 eng
040 |a DLC  |b eng  |e rda  |e pn  |c DLC  |d OCLCO  |d OCLCF  |d N$T  |d EBLCP  |d RECBK  |d DG1  |d UKAHL  |d OCLCQ  |d YDX  |d YUS  |d U3W  |d OCLCQ  |d KSU  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCL  |d SXB 
020 |a 9781119119586  |q (electronic book) 
020 |a 1119119588  |q (electronic book) 
020 |a 9781119119593  |q (electronic book) 
020 |a 1119119596  |q (electronic book) 
020 |a 9781119119579  |q (electronic publication) 
020 |a 111911957X  |q (electronic publication) 
020 |z 9781119119548  |q (hardcover) 
024 8 |a 16295854 
035 |a (OCoLC)1084630879 
042 |a pcc 
100 1 |a Xi, Yugeng,  |d 1946-  |e author. 
245 1 0 |a Predictive control :  |b fundamentals and developments /  |c Yugeng Xi, Shanghai Jiao Tong University, Shanghai, China, Dewei Li, Shanghai Jiao Tong University, Shanghai, China. 
250 |a First edition. 
264 1 |a Singapore ;  |a Hoboken, NJ :  |b John Wiley & Sons Singapore Pte. Ltd,  |c 2019. 
300 |a 1 online resource (xiii, 377 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "National Defence Industry Press." 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "Systematically introduces fundamental concepts, basic algorithms, and applications of MPC -Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches - Features numerous MPC models and structures, based on rigorous research -Based on the best-selling Chinese edition, which has become a cornerstone in the Chinese market Modeling Predictive Control (MPC) is an advanced control technology that can effectively handle optimization control under constraints. Since MPC appeared in the industrial process control field in the 1970's, the demand for constrained optimization control, in particular MPC, in various application fields has been increasing continuously. The MPC application fields extend from traditional oil refinery, petrochemical, and chemical industries, to almost all fields such as power systems, manufacturing, aerospace, electromechanics, urban transportation, agricultural greenhouse, and medicine etc. MPC has the ability to anticipate future events and can take control actions accordingly. PID and LQR controllers do not have this predictive ability. MPC is nearly universally implemented as a digital control, although there is research into achieving faster response times with specially designed analog circuitry"--  |c Provided by publisher. 
505 0 |a Intro; Title Page; Copyright Page; Contents; Preface; Chapter 1 Brief History and Basic Principles of Predictive Control; 1.1 Generation and Development of Predictive Control; 1.2 Basic Methodological Principles of Predictive Control; 1.2.1 Prediction Model; 1.2.2 Rolling Optimization; 1.2.3 Feedback Correction; 1.3 Contents of this Book; References; Chapter 2 Some Basic Predictive Control Algorithms; 2.1 Dynamic Matrix Control (DMC) Based on the Step Response Model; 2.1.1 DMC Algorithm and Implementation; 2.1.2 Description of DMC in the State Space Framework 
505 8 |a 2.2 Generalized Predictive Control (GPC) Based on the Linear Difference Equation Model2.3 Predictive Control Based on the State Space Model; 2.4 Summary; References; Chapter 3 Trend Analysis and Tuning of SISO Unconstrained DMC Systems; 3.1 The Internal Model Control Structure of the DMC Algorithm; 3.2 Controller of DMC in the IMC Structure; 3.2.1 Stability of the Controller; 3.2.2 Controller with the One-Step Optimization Strategy; 3.2.3 Controller for Systems with Time Delay; 3.3 Filter of DMC in the IMC Structure; 3.3.1 Three Feedback Correction Strategies and Corresponding Filters 
505 8 |a 3.3.2 Influence of the Filter to Robust Stability of the System3.4 DMC Parameter Tuning Based on Trend Analysis; 3.5 Summary; References; Chapter 4 Quantitative Analysis of SISO Unconstrained Predictive Control Systems; 4.1 Time Domain Analysis Based on the Kleinman Controller; 4.2 Coefficient Mapping of Predictive Control Systems; 4.2.1 Controller of GPC in the IMC Structure; 4.2.2 Minimal Form of the DMC Controller and Uniform Coefficient Mapping; 4.3 Z Domain Analysis Based on Coefficient Mapping; 4.3.1 Zero Coefficient Condition and the Deadbeat Property of Predictive Control Systems 
505 8 |a 4.3.2 Reduced Order Property and Stability of Predictive Control Systems4.4 Quantitative Analysis of Predictive Control for Some Typical Systems; 4.4.1 Quantitative Analysis for First-Order Systems; 4.4.2 Quantitative Analysis for Second-Order Systems; 4.5 Summary; References; Chapter 5 Predictive Control for MIMO Constrained Systems; 5.1 Unconstrained DMC for Multivariable Systems; 5.2 Constrained DMC for Multivariable Systems; 5.2.1 Formulation of the Constrained Optimization Problem in Multivariable DMC; 5.2.2 Constrained Optimization Algorithm Based on the Matrix Tearing Technique 
505 8 |a 5.2.3 Constrained Optimization Algorithm Based on QP5.3 Decomposition of Online Optimization for Multivariable Predictive Control; 5.3.1 Hierarchical Predictive Control Based on Decomposition-Coordination; 5.3.2 Distributed Predictive Control; 5.3.3 Decentralized Predictive Control; 5.3.4 Comparison of Three Decomposition Algorithms; 5.4 Summary; References; Chapter 6 Synthesis of Stable Predictive Controllers; 6.1 Fundamental Philosophy of the Qualitative Synthesis Theory of Predictive Control; 6.1.1 Relationships between MPC and Optimal Control 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Predictive control. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Li, Dewei  |c (Computer scientist),  |e author. 
776 0 8 |i Print version:  |a Xi, Yugeng, 1946-  |t Predictive control.  |b First edition.  |d Hoboken, NJ : John Wiley & Sons, Inc., [2019]  |z 9781119119548  |w (DLC) 2019003713 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPCFD0003/predictive-control-fundamentals?kpromoter=marc  |y Full text