书目名称 | Handbook of Model Predictive Control | 编辑 | Saša V. Raković,William S. Levine | 视频video | | 概述 | Helps readers learn state-of-the-art applications of control theory with numerous step-by-step tutorials.Provides a comprehensive survey of contemporary model-predictive control theory and methods.Ill | 丛书名称 | Control Engineering | 图书封面 |  | 描述 | .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 buil | 出版日期 | Book 2019 | 关键词 | model-predictive control; optimal control; stabilizing feedback control; efficient convex optimization; | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-77489-3 | isbn_softcover | 978-3-030-08466-0 | isbn_ebook | 978-3-319-77489-3Series ISSN 2373-7719 Series E-ISSN 2373-7727 | issn_series | 2373-7719 | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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