Design and Development of Model Predictive Primary Control of Micro Grids, Vidyasagar
Автор: Borrelli Название: Predictive Control for Linear and Hybrid Systems ISBN: 1107652871 ISBN-13(EAN): 9781107652873 Издательство: Cambridge Academ Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.
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: 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: 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.
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: 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.
Автор: Khaled, Nassim Название: Practical Design and Application of Model Predictive Control ISBN: 0128139188 ISBN-13(EAN): 9780128139189 Издательство: Elsevier Science Рейтинг: Цена: 17854.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. . The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com.
Introduction.- Quadratic Constraint for Decentralised Model Predictive Control.- Quadratic Constraint for Parallel Splitting Systems.- Quadratic Constraint for Semi-Automatic Control.- Quadratic Constraint with Data Losses.
Автор: Rakovic Sasa V., Levine William S. Название: Handbook of Model Predictive Control ISBN: 3319774883 ISBN-13(EAN): 9783319774886 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Автор: Durand Helen, Christofides Panagiotis Название: Economic Model Predictive Control ISBN: 1680834320 ISBN-13(EAN): 9781680834321 Издательство: Неизвестно Цена: 7587.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written in tutorial style, this monograph provides the reader with a full literature review of the topic and demonstrates how these techniques can be adopted in a practical system.
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: 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.
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