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Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control


Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control
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Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control


Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control
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Author : Luis Felipe Domínguez Palomeque
language : en
Publisher:
Release Date : 2011

Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control written by Luis Felipe Domínguez Palomeque and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control


Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control
DOWNLOAD
Author : Luis Felipe Domínguez Palomeque
language : en
Publisher:
Release Date : 2011

Advances In Multiparametric Nonlinear Programming Explicit Model Predictive Control written by Luis Felipe Domínguez Palomeque and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Chemical Engineering Progress


Chemical Engineering Progress
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Author :
language : en
Publisher:
Release Date : 2009

Chemical Engineering Progress written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Chemistry, Technical categories.




Advances In Automotive Control 2001


Advances In Automotive Control 2001
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Author : U. Kiencke
language : en
Publisher: Pergamon
Release Date : 2001

Advances In Automotive Control 2001 written by U. Kiencke and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Technology & Engineering categories.


This Proceedings contains the papers presented at the Third IFAC Workshop on ADVANCES IN AUTOMOTIVE CONTROL held in Karlsruhe, Germany, on 28-30 March 2001. As the subject indicates, the aim of this workshop was to discuss not only the latest advances related to motor vehicles, but also, and more generally, to exchange ideas between academic partners, car manufacturers and subcontractors. The plenary lectures are of great importance and the thematic sessions in the different sections are the essence of such workshops. However, the discussions between experts in the different fields, the meetings between people from industry, universities and public or private laboratories, as well as the resulting exchange of ideas, are as important. Research is often criticized for providing merely theoretical results and for the insufficient number of its applications. The motor vehicle industry offers a wide field of applications in which we can validate all techniques, tools and methods. This allows us to be involved in all the areas of fundamental research, in all the different possible approaches from fundamental research to technology transfer, and to observe the actual effects of our results. The increase in road traffic was a major problem of the last century. It is clear that one of the challenges of the XXIst century will be to improve driving safety and comfort. The sessions in the Proceedings volume are divided as follows: Driveline control, Driveline modelling, Vehicle dynamics (I and II), Electronic architecture, Intelligent components, Engine control (I and II), Engine modelling, Modelling of combustion and turbo-charging, Diagnostics and Subsystems. The quality of thepapers and the diversity of their origins clearly show the interest taken in this key sector of our research and industry.



Explicit Nonlinear Model Predictive Control


Explicit Nonlinear Model Predictive Control
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Author : Alexandra Grancharova
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-23

Explicit Nonlinear Model Predictive Control written by Alexandra Grancharova and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-23 with Technology & Engineering categories.


Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations: ؠ Nonlinear systems described by first-principles models and nonlinear systems described by black-box models; - Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs; - Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty); - Nonlinear systems, consisting of interconnected nonlinear sub-systems. The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.



Journal Of Guidance Control And Dynamics


Journal Of Guidance Control And Dynamics
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Author :
language : en
Publisher:
Release Date : 2009

Journal Of Guidance Control And Dynamics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Airplanes categories.




Multi Parametric Optimization And Control


Multi Parametric Optimization And Control
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Author : Efstratios N. Pistikopoulos
language : en
Publisher: John Wiley & Sons
Release Date : 2020-11-02

Multi Parametric Optimization And Control written by Efstratios N. Pistikopoulos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Mathematics categories.


Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support deeper understanding of the material. Researchers and practitioners can use the book as reference. It is also suitable as a primary or a supplementary textbook. Each chapter looks at the theories related to a topic along with a relevant case study. Topic complexity increases gradually as readers progress through the chapters. The first part of the book presents an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. The second examines the connection between multi-parametric programming and model-predictive control—from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The third part of the book addresses multi-parametric optimization in process systems engineering. A step-by-step procedure is introduced for embedding the programming within the system engineering, which leads the reader into the topic of the PAROC framework and software platform. PAROC is an integrated framework and platform for the optimization and advanced model-based control of process systems. Uses case studies to illustrate real-world applications for a better understanding of the concepts presented Covers the fundamentals of optimization and model predictive control Provides information on key topics, such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimal control An appendix summarizes the history of multi-parametric optimization algorithms. It also covers the use of the parametric optimization toolbox (POP), which is comprehensive software for efficiently solving multi-parametric programming problems.



Index To Theses With Abstracts Accepted For Higher Degrees By The Universities Of Great Britain And Ireland And The Council For National Academic Awards


Index To Theses With Abstracts Accepted For Higher Degrees By The Universities Of Great Britain And Ireland And The Council For National Academic Awards
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Author :
language : en
Publisher:
Release Date : 2008

Index To Theses With Abstracts Accepted For Higher Degrees By The Universities Of Great Britain And Ireland And The Council For National Academic Awards written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Dissertations, Academic categories.


Theses on any subject submitted by the academic libraries in the UK and Ireland.



Predictive Control For Linear And Hybrid Systems


Predictive Control For Linear And Hybrid Systems
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Author : Francesco Borrelli
language : en
Publisher: Cambridge University Press
Release Date : 2017-06-22

Predictive Control For Linear And Hybrid Systems written by Francesco Borrelli and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-22 with Mathematics categories.


Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.



Nonlinear Model Predictive Control


Nonlinear Model Predictive Control
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Author : Lalo Magni
language : en
Publisher: Springer
Release Date : 2009-05-18

Nonlinear Model Predictive Control written by Lalo Magni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-18 with Technology & Engineering categories.


Over the past few 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. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.