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HANDBOOK OF MODEL PREDICTIVE CONTROL-

HANDBOOK OF MODEL PREDICTIVE CONTROL-

HANDBOOK OF MODEL PREDICTIVE CONTROL-
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HANDBOOK OF MODEL PREDICTIVE CONTROL- Other - 2018

by Sasa V. Rakovic (Editor); William S. Levine (Editor)

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Springer (India) Private Limited . Other. New.
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Details

  • Title HANDBOOK OF MODEL PREDICTIVE CONTROL-
  • Author Sasa V. Rakovic (Editor); William S. Levine (Editor)
  • Binding Other
  • Condition New
  • Pages 692
  • Volumes 1
  • Language ENG
  • Publisher Springer (India) Private Limited
  • Publication date 2018-09-12
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6375702827
  • ISBN 9783319774886 / 3319774883
  • Weight 2.58 lbs (1.17 kg)
  • Dimensions 9.21 x 6.14 x 1.5 in (23.39 x 15.60 x 3.81 cm)
  • Category Science
  • Dewey Decimal Code 519
  • Quantity available 4

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Reader reviews for HANDBOOK OF MODEL PREDICTIVE CONTROL-

From the publisher

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today.

The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using "computationally intensive controls," so the second part of this book addresses the solution of optimization problems in "real" time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.

The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.


From the rear cover

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today.

The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using "computationally intensive controls," so the second part of this book addresses the solution of optimization problems in "real" time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.

The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.


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