Model Predictive Control, Ridong Zhang; Anke Xue; Furong Gao
Автор: Carlos Ocampo-Martinez Название: Model Predictive Control of Wastewater Systems ISBN: 1447157184 ISBN-13(EAN): 9781447157182 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how sewage systems can be modeled and controlled within the framework of model predictive control (MPC). A MATLAB(R) toolbox (available for download) will assist readers in implementing the MPC methods described within a sewer network.
Автор: Lalo Magni; Davide Martino Raimondo; Frank Allg?we Название: Nonlinear Model Predictive Control ISBN: 3642010938 ISBN-13(EAN): 9783642010934 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. This book assesses the status of the NMPC field and discusses future directions and needs.
Автор: Martin Guay, Veronica Adetola and Darryl De Haan Название: Robust And Adaptive Model Predictive Control Of Nonlinear Systems ISBN: 1849195528 ISBN-13(EAN): 9781849195522 Издательство: Неизвестно Рейтинг: Цена: 24944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.
Автор: Ellis Название: Economic Model Predictive Control ISBN: 3319411071 ISBN-13(EAN): 9783319411071 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.
Автор: Tahirovic Adnan Название: Passivity-based Model Predictive Control for Mobile Vehicle ISBN: 1447150481 ISBN-13(EAN): 9781447150480 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Passivity-based Model Predictive Control for Mobile Vehicle Navigation represents a complete theoretical approach to the adoption of passivity-based model predictive control (MPC) for autonomous vehicle navigation in both indoor and outdoor environments.
Название: Distributed model predictive control made easy ISBN: 9400770057 ISBN-13(EAN): 9789400770058 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Distributed Model Predictive Control Made Easy
Автор: Luigi Del Re; Frank Allg?wer; Luigi Glielmo; Carlo Название: Automotive Model Predictive Control ISBN: 1849960704 ISBN-13(EAN): 9781849960700 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application.
Автор: Jos? M. Maestre; Rudy R. Negenborn Название: Distributed Model Predictive Control Made Easy ISBN: 9402407146 ISBN-13(EAN): 9789402407143 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a state-of-the-art overview of distributed model predictive control (MPC) approaches. It carefully explains the core and rationale of 35 approaches, providing detailed step-by-step algorithmic descriptions of each approach.
Описание: This book proposes methods for the design and implementation of MPC systems using basis functions that confer a number of advantages. As well as presenting the theory, the author covers industrial applications and explains the subject of quadratic programming.
Автор: Grune Название: Nonlinear Model Predictive Control ISBN: 0857295004 ISBN-13(EAN): 9780857295002 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
Автор: Frank Allg?wer; Alex Zheng Название: Nonlinear Model Predictive Control ISBN: 3034895542 ISBN-13(EAN): 9783034895545 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes.
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