Linear And Nonlinear Distributed Economic Model Predictive Control

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Linear And Nonlinear Distributed Economic Model Predictive Control

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Author : Jaehwa Lee
language : en
Publisher:
Release Date : 2013

Linear And Nonlinear Distributed Economic Model Predictive Control written by Jaehwa Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Economic Model Predictive Control

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Author : Matthew Ellis
language : en
Publisher: Springer
Release Date : 2016-07-27

Economic Model Predictive Control written by Matthew Ellis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Technology & Engineering categories.

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.

Handbook Of Model Predictive Control

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Author : Saša V. Raković
language : en
Publisher: Springer
Release Date : 2018-09-01

Handbook Of Model Predictive Control written by Saša V. Raković and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Science categories.

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.

Coulson And Richardson S Chemical Engineering

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Author : Sohrab Rohani
language : en
Publisher: Butterworth-Heinemann
Release Date : 2017-08-23

Coulson And Richardson S Chemical Engineering written by Sohrab Rohani and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-23 with Technology & Engineering categories.

Coulson and Richardson's Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors. - Converted from textbooks into fully revised reference material - Content ranges from foundational through to technical - Added emerging applications, numerical methods and computational tools

Model Predictive Control Theory And Applications

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Author : Constantin Voloşencu
language : en
Publisher: BoD – Books on Demand
Release Date : 2023-07-12

Model Predictive Control Theory And Applications written by Constantin Voloşencu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-12 with Science categories.

The book presents some recent specialized theoretical and practical works in the field of process control based on the model predictive control (MPC) method. It includes seven chapters that present studies on the application of MPC in various technical processes, such as the atmospheric plasma spray process, permanent magnet synchronous motors, monitoring of the pose of a walking person, monitoring of the heat treatment process of raw materials, discrete event processes, control of passenger vehicles, and natural gas sweetening processes. Chapters include examples and case studies from researchers in the field. This volume provides readers with new solutions and answers to questions related to the emerging applications of MPC and their implementation.

Learning Based Model Predictive Control With Closed Loop Guarantees

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Author : Raffaele Soloperto
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2023-11-13

Learning Based Model Predictive Control With Closed Loop Guarantees written by Raffaele Soloperto and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with categories.

The performance of model predictive control (MPC) largely depends on the accuracy of the prediction model and of the constraints the system is subject to. However, obtaining an accurate knowledge of these elements might be expensive in terms of money and resources, if at all possible. In this thesis, we develop novel learning-based MPC frameworks that actively incentivize learning of the underlying system dynamics and of the constraints, while ensuring recursive feasibility, constraint satisfaction, and performance bounds for the closed-loop. In the first part, we focus on the case of inaccurate models, and analyze learning-based MPC schemes that include, in addition to the primary cost, a learning cost that aims at generating informative data by inducing excitation in the system. In particular, we first propose a nonlinear MPC framework that ensures desired performance bounds for the resulting closed-loop, and then we focus on linear systems subject to uncertain parameters and noisy output measurements. In order to ensure that the desired learning phase occurs in closed-loop operations, we then propose an MPC framework that is able to guarantee closed-loop learning of the controlled system. In the last part of the thesis, we investigate the scenario where the system is known but evolves in a partially unknown environment. In such a setup, we focus on a learning-based MPC scheme that incentivizes safe exploration if and only if this might yield to a performance improvement.

Performance And Constraint Satisfaction In Robust Economic Model Predictive Control

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Author : Florian A. Bayer
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2017

Performance And Constraint Satisfaction In Robust Economic Model Predictive Control written by Florian A. Bayer and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Technology & Engineering categories.

In this thesis, we develop a novel framework for model predictive control (MPC) which combines the concepts of robust MPC and economic MPC. The goal of this thesis is to develop and analyze MPC schemes for nonlinear discrete-time systems which explicitly consider the influence of disturbances on arbitrary performance criteria. Instead of regarding the two aspects separately, we propose robust economic MPC approaches that integrate information which is available about the disturbance directly into the economic framework. In more detail, we develop three concepts which differ in which information about the disturbance is used and how this information is taken into account. Furthermore, we provide a thorough theoretical analysis for each of the three approaches. To this end, we present results on the asymptotic average performance as well as on optimal operating regimes. Optimal operating regimes are closely related to the notion of dissipativity, which is therefore analyzed for the presented concepts. Under suitable assumptions, results on necessity and sufficiency of dissipativity for optimal steady-state operation are established for all three robust economic MPC concepts. A detailed discussion is provided which compares the different performance statements derived for the approaches as well as the respective notions of dissipativity.

Nonlinear Model Based Process Control

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Author : Rashid M. Ansari
language : en
Publisher: Springer
Release Date : 2000-04-12

Nonlinear Model Based Process Control written by Rashid M. Ansari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-12 with Science categories.

The work in this text entails the development of non-linear model-based multivariable control algorithms and strategies and their use in an integrated approach to control strategy, which incorporates a process model, an inferential model and a multi-variable control algorithm in one framework.

Book Of Abstracts

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Author : Institution of Chemical Engineers, The
language : en
Publisher:
Release Date : 2005

Book Of Abstracts written by Institution of Chemical Engineers, The and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Technology & Engineering categories.

CD-ROM contains conference manuscripts.

Water S A

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Author :
language : en
Publisher:
Release Date : 2003

Water S A written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Water resources development categories.