Handbook of Model Predictive Control by William Levine

Handbook of Model Predictive Control by William Levine

Theory.- The Essentials of Model Predictive Control (MPC).- Dynamic Programming and MPC.- Set-valued and Lyapunov Methods for MPC.- Stochastic Model Predictive Control.- Moving Horizon Estimation.- Probing and Duality in Stochastic Model Predictive Control.- Economic Model Predictive Control: Some Design Tools and Analysis Techniques.- Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective.- Hybrid Model Predictive Control.- Model Predictive Control of Polynomial Systems.- Distributed MPC for Large-Scale Systems.- Scalable MPC Design.- Computations.- Efficient Convex Optimization for Linear MPC.- Implicit Non-Convex Model Predictive Control.- Convexification and Real-Time Optimization for MPC with Aerospace Applications.- Explicit (Offline) Optimization for MPC.- Real-Time Implementation of Explicit Model Predictive Control.- Robust Optimization for MPC.- Scenario Optimization for MPC.- Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control.- Applications.- Automotive Applications of Model Predictive Control.- Applications of MPC in the Area of Health Care.- Model Predictive Control for Power Electronics Applications.- Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots.- Applications of MPC to Building HVAC Systems.- Toward Multi-Layered MPC for Complex Electric Energy Systems.- Applications of MPC to Finance.

“This handbook is designed for a wide audienceIt is an excellent reference for graduate students, researchers, and practitioners in the field of control systems and numerical optimization who want to understand the potential, challenges, and benefits of MPC and its applications. … This handbook enables the reader to gain a panoramic viewpoint of MPC theory and practice as well as provides a state-of-the-art overview of new and exciting areas of application at the forefront of MPC research.” (Gabriele Pannocchia, IEEE Control Systems Magazine, Vol. 40 (5), October, 2020)

Dr. William S. Levine received the B.S., M.S., and Ph.D. degrees from M.I.T. He then joined the faculty of the University of Maryland, College Park where he is currently Research Professor of ECE. Throughout his career, he has specialized in the design and analysis of control systems and related problems in estimation, filtering, and system modeling. Motivated by the desire to understand a collection of interesting controller designs, he has done a great deal of research on mammalian control of movement in collaboration with several neurophysiologists.

Dr. Levine is co-author of Using MATLAB to Analyze and Design Control Systems (1992, second edition, 1995) and editor of The Control Handbook (published by CRC Press in cooperation with IEEE Press), and of a series on control engineering for Birkhauser. He is also co-editor of The Handbook of Networked and Embedded Control Systems (published by Birkhauser, 2005). He has been president of the IEEE Control Systems Society and the American Cntrol Council. He is presently the Chairman of the SIAM special interest group Control Theory and its Applications.

Dr. Levine is a Fellow of the IEEE, a Distinguished Member of the IEEE Control Systems Society, and a recipient of the IEEE Third Millennium Medal. He and his collaborators received the Schroers Award for outstanding rotorcraft research in 1998. He and another group of collaborators received the award for outstanding paper in the IEEE Transactions on Auotomatic Control for Discrete Time Point Processes in Urban Traffic Queue Estimation

SKU	Unavailable
ISBN 13	9783030084660
ISBN 10	3030084663
Title	Handbook of Model Predictive Control
Author	William Levine
Series	Control Engineering
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer Nature Switzerland AG
Year published	2019-02-01
Number of pages	692
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable