Economic Model Predictive Control
DOWNLOAD
Download Economic Model Predictive Control PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Economic Model Predictive Control book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Performance And Constraint Satisfaction In Robust Economic Model Predictive Control
DOWNLOAD
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.
Economic Nonlinear Model Predictive Control
DOWNLOAD
Author : Timm Faulwasser
language : en
Publisher: Foundations and Trends in Systems and Control
Release Date : 2018-01-12
Economic Nonlinear Model Predictive Control written by Timm Faulwasser and has been published by Foundations and Trends in Systems and Control this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-12 with Predictive control categories.
In recent years, Economic Model Predictive Control (EMPC) has received considerable attention of many research groups. The present tutorial survey summarizes state-of-the-art approaches in EMPC. In this context EMPC is to be understood as receding-horizon optimal control with a stage cost that does not simply penalize the distance to a desired equilibrium but encodes more sophisticated economic objectives. This survey provides a comprehensive overview of EMPC stability results: with and without terminal constraints, with and without dissipativity assumptions, with averaged constraints, formulations with multiple objectives and generalized terminal constraints as well as Lyapunov-based approaches.
Economic Model Predictive Control
DOWNLOAD
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.
Linear And Nonlinear Distributed Economic Model Predictive Control
DOWNLOAD
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 Of Nonlinear Process Systems Using Empirical Models
DOWNLOAD
Author : Anas Wael Alanqar
language : en
Publisher:
Release Date : 2015
Economic Model Predictive Control Of Nonlinear Process Systems Using Empirical Models written by Anas Wael Alanqar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Economic model predictive control (EMPC) is a feedback control technique that attempts to tightly integrate economic optimization and feedback control since it is a predictive control scheme that is formulated with an objective function representing the process economics. As its name implies, EMPC requires the availability of a dynamic model to compute its control actions and such a model may be obtained either through application of first-principles or though system identification techniques. However, in industrial practice, it may be difficult in general to obtain an accurate first-principles model of the process. Motivated by this, in the present work, Lyapunov-based economic model predictive control (LEMPC) is designed with an empirical model that allows for closed-loop stability guarantees in the context of nonlinear chemical processes. Specifically, when the linear model provides a sufficient degree of accuracy in the region where time-varying economically optimal operation is considered, conditions for closed-loop stability under the LEMPC scheme based on the empirical model are derived. The LEMPC scheme is applied to a chemical process example to demonstrate its closed-loop stability and performance properties as well as significant computational advantages.
Economic Model Predictive Control Theory Computational Efficiency And Application To Smart Manufacturing
DOWNLOAD
Author : Matthew Ellis
language : en
Publisher:
Release Date : 2015
Economic Model Predictive Control Theory Computational Efficiency And Application To Smart Manufacturing written by Matthew Ellis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
The chemical industry is a vital sector of the US economy. Maintaining optimal chemical process operation is critical to the future success of the US chemical industry on a global market. Traditionally, economic optimization of chemical processes has been addressed in a two-layer hierarchical architecture. In the upper layer, real-time optimization carries out economic process optimization by computing optimal process operation set-points using detailed nonlinear steady-state process models. These set-points are used by the lower layer feedback control systems to force the process to operate on these set-points. While this paradigm has been successful, we are witnessing an increasing need for dynamic market and demand-driven operations for more efficient process operation, increasing response capability to changing customer demand, and achieving real-time energy management. To enable next-generation market-driven operation, economic model predictive control (EMPC), which is an model predictive control scheme formulated with a stage cost that represents the process economics, has been proposed to integrate dynamic economic optimization of processes with feedback control. Motivated by these considerations, novel theory and methods needed for the design of computationally tractable economic model predictive control systems for nonlinear processes are developed in this dissertation. Specifically, the following considerations are addressed: a) EMPC structures for nonlinear systems which address: infinite-time and finite-time closed-loop economic performance and time-varying economic considerations such as changing energy pricing; b) two-layer (hierarchical) dynamic economic process optimization and feedback control frameworks that incorporate EMPC with other control strategies allowing for computational efficiency; and c) EMPC schemes that account for real-time computation requirements. The EMPC schemes and methodologies are applied to chemical process applications. The application studies demonstrate the effectiveness of the EMPC schemes to maintain process stability and improve economic performance under dynamic operation as well as to increase efficiency, reliability and profitability of processes, thereby contributing to the vision of Smart Manufacturing.
Economic Model Predictive Control And Time Varying Systems
DOWNLOAD
Author : Simon Pirkelmann
language : en
Publisher:
Release Date : 2020
Economic Model Predictive Control And Time Varying Systems written by Simon Pirkelmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Robust Economic Model Predictive Control
DOWNLOAD
Author : Zihang Dong
language : en
Publisher:
Release Date : 2019
Robust Economic Model Predictive Control written by Zihang Dong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Distributed And Economic Model Predictive Control Beyond Setpoint Stabilization
DOWNLOAD
Author : Matthias A. Müller
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2014
Distributed And Economic Model Predictive Control Beyond Setpoint Stabilization written by Matthias A. Müller 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 2014 with Mathematics categories.
In this thesis, we study model predictive control (MPC) schemes for control tasks which go beyond the classical objective of setpoint stabilization. In particular, we consider two classes of such control problems, namely distributed MPC for cooperative control in networks of multiple interconnected systems, and economic MPC, where the main focus is on the optimization of some general performance criterion which is possibly related to the economics of a system. The contributions of this thesis are to analyze various systems theoretic properties occurring in these type of control problems, and to develop distributed and economic MPC schemes with certain desired (closed-loop) guarantees. To be more precise, in the field of distributed MPC we propose different algorithms which are suitable for general cooperative control tasks in networks of interacting systems. We show that the developed distributed MPC frameworks are such that the desired cooperative goal is achieved, while coupling constraints between the systems are satisfied. Furthermore, we discuss implementation and scalability issues for the derived algorithms, as well as the necessary communication requirements between the systems. In the field of economic MPC, the contributions of this thesis are threefold. Firstly, we analyze a crucial dissipativity condition, in particular its necessity for optimal steady-state operation of a system and its robustness with respect to parameter changes. Secondly, we develop economic MPC schemes which also take average constraints into account. Thirdly, we propose an economic MPC framework with self-tuning terminal cost and a generalized terminal constraint, and we show how self-tuning update rules for the terminal weight can be derived such that desirable closed-loop performance bounds can be established.
Economic Model Predictive Control For Time Varying System Performance And Stability Results
DOWNLOAD
Author : Lars Grüne
language : en
Publisher:
Release Date : 2018
Economic Model Predictive Control For Time Varying System Performance And Stability Results written by Lars Grüne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.