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LEADER 00000cam a2200697 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    190204s2019    si a    ob    001 0 eng   
010      2019005389 
020    9781119119586|q(electronic book) 
020    1119119588|q(electronic book) 
020    9781119119593|q(electronic book) 
020    1119119596|q(electronic book) 
020    9781119119579|q(electronic publication) 
020    111911957X|q(electronic publication) 
020    |q(hardcover) 
024 8  16295854 
029 1  AU@|b000065535784 
029 1  CHNEW|b001060488 
029 1  CHVBK|b571898564 
035    (OCoLC)1084630879 
040    DLC|beng|erda|epn|cDLC|dOCLCO|dOCLCF|dN$T|dEBLCP|dRECBK
       |dDG1|dUKAHL|dOCLCQ|dYDX|dYUS|dU3W|dOCLCQ|dKSU|dOCLCO
       |dOCLCQ|dOCLCO|dOCLCL 
042    pcc 
049    INap 
082 00 629.8 
082 00 629.8|223 
099    eBook O'Reilly for Public Libraries 
100 1  Xi, Yugeng,|d1946-|eauthor. 
245 10 Predictive control :|bfundamentals and developments /
       |cYugeng Xi, Shanghai Jiao Tong University, Shanghai, 
       China, Dewei Li, Shanghai Jiao Tong University, Shanghai, 
       China.|h[O'Reilly electronic resource] 
250    First edition. 
264  1 Singapore ;|aHoboken, NJ :|bJohn Wiley & Sons Singapore 
       Pte. Ltd,|c2019. 
300    1 online resource (xiii, 377 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    "National Defence Industry Press." 
504    Includes bibliographical references and index. 
505 0  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  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  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  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  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 
520    "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"--|cProvided by 
       publisher. 
588 0  Online resource; title from digital title page (viewed on 
       December 04, 2019). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Predictive control. 
650  6 Commande prédictive. 
650  7 Predictive control|2fast 
700 1  Li, Dewei|c(Computer scientist),|eauthor. 
776 08 |iPrint version:|aXi, Yugeng, 1946-|tPredictive control.
       |bFirst edition.|dHoboken, NJ : John Wiley & Sons, Inc., 
       [2019]|z9781119119548|w(DLC)  2019003713 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781119119548/?ar
       |zAvailalbe on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH35891925 
938    ProQuest Ebook Central|bEBLB|nEBL5806449 
938    EBSCOhost|bEBSC|n2179709 
938    Recorded Books, LLC|bRECE|nrbeEB00762546 
938    YBP Library Services|bYANK|n300674990 
994    92|bJFN