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Friday, July 10, 2020 | History

1 edition of Hybrid Predictive Control for Dynamic Transport Problems found in the catalog.

Hybrid Predictive Control for Dynamic Transport Problems

by Alfredo A. NГєГ±ez

  • 114 Want to read
  • 2 Currently reading

Published by Springer London, Imprint: Springer in London .
Written in English

    Subjects:
  • Control,
  • Management Science Operations Research,
  • Engineering,
  • Operation Research/Decision Theory,
  • Operations research

  • About the Edition

    Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from the area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed-integer optimization problems dynamically, is readily extendable to other industrial processes.

    The main topics of this book are:

    ●hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO);

    ●HPC based on EMO for dial-a-ride systems; and

    ●HPC based on EMO for operational decisions in public transport systems.

    Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here in other process fields will appeal to a wider group of researchers, scientists and graduate students working in other control-related disciplines.

    Edition Notes

    Statementby Alfredo A. Núñez, Doris A. Sáez, Cristián E. Cortés
    SeriesAdvances in Industrial Control
    ContributionsSáez, Doris A., Cortés, Cristián E., SpringerLink (Online service)
    Classifications
    LC ClassificationsTJ212-225
    The Physical Object
    Format[electronic resource] /
    PaginationXIX, 169 p. 76 illus., 25 illus. in color.
    Number of Pages169
    ID Numbers
    Open LibraryOL27044408M
    ISBN 109781447143512

    Model Predictive Control of Wastewater Systems - Ebook written by Carlos Ocampo-Martinez. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Model Predictive Control of Wastewater ://   CiteScore: ℹ CiteScore: CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. ) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of

      sensors Article Decentralized Mesh-Based Model Predictive Control for Swarms of UAVs Salvatore Rosario Bassolillo 1, Egidio D’Amato 2,*, Immacolata Notaro 1, Luciano Blasi 1 and Massimiliano Mattei 1 1 Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy; [email protected] (S.R.B.); @ [Contribution to a book] Mitsos, Alexander; Schäfer, Pascal; Caspari, Adrian; Ecker, Anna; Frank, Roman; Freko, Pascal; Haider, Patrick; Kender, Robert; King ~irhx/Publikationen-Systemverfahrens.

    The aim of this work is the control design and analysis of a semiactive axle suspension system for vibration reduction in a wheel loader. Unlike a traditional semiactive suspension system with continuously adjustable shock absorber, in this work, a novel axle suspension with multiple damping modes is proposed for the wheel loader. The multimode switching damping characteristics are achieved by This work presents a holistic approach for the operation and control as well as for the dimensioning of the MMC used as a drive inverter. Keywords Leistungselektronik, Modularer Multilevel-Umrichter, Drehstromantrieb, Regelung, DimensionierungPower Electronics, Modular Multilevel Converter, Three-Phase Drive, Control, Dimensioning?func=search&uiLanguage=en&query=kw:"converter".


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Hybrid Predictive Control for Dynamic Transport Problems by Alfredo A. NГєГ±ez Download PDF EPUB FB2

Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems.

The methodology is designed for real-time applications, particularly the study of dynamic transport :// Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems.

The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure /hybrid-predictive-control-for-dynamic-transport-problems.

springer, Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems.

The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost  › Home › Catalog. Hybrid predictive control: mono-objective and multi-objective design --Hybrid predictive control for a dial-a-Ride system --Hybrid predictive control for operational decisions in public transport systems - Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems.

The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered The problem is formulated under a hybrid predictive control (HPC) scheme, which considers the prediction of the future demand and traffic conditions of the transport system.

A generic expression of the system objective function is used to measure the benefits of dispatch decisions of the proposed scheme when solving for more than a two-step 「Hybrid predictive control for dynamic transport problems」を図書館から検索。カーリルは複数の図書館からまとめて蔵書検索ができるサービスです。 カーリルは全国の図書館から本を検索できるサービス Nunez / Saez / Cortés, Hybrid Predictive Control for Dynamic Transport Problems,Buch, Bücher schnell und portofrei Beachten Sie bitte die aktuellen Informationen unseres Partners DHL zu Liefereinschränkungen im :// Hybrid predictive control for dynamic transport problems Alfredo A.

Núñez, Doris A. Sáez, Cristián E. Cortés (Advances in industrial control) Springer, c Hybrid Predictive Control for Dynamic Transport Problems - Alfredo Nunez - 洋書の購入は楽天ブックスで。全品送料無料!購入毎に「楽天スーパーポイント」が貯まってお得!みんなのレビュー・感想も満   Lecture 14 - Model Predictive Control Part 1: The Concept – DMC – Dynamic Matrix Control, early s at Shell Oil • Large scale operation control problems – Operations management (control of supply chain) – Campaign control.

EEm - Spring   This paper presents a hybrid adaptive predictive control approach that includes future information in real-time routing decisions in the context of a dynamic pickup and delivery problem (DPDP). We recognize in this research that when the problem is dynamic, an additional stochastic effect has to be considered within the analytical expression of the objective function for vehicle scheduling Hybrid Predictive Control for Dynamic Transport Problems.

HPC based on EMO for operational decisions in public transport systems. This book is a comprehensive analysis of HPC and its from book Hybrid Predictive Control for Dynamic Transport Problems (pp) Hybrid Predictive Control: Mono-objective and Multi-objective Design Chapter August with 8 Reads Solberg, B and Andersen, P and Maciejowski, JM and Stoustrup, J () Hybrid model predictive control applied to switching control of burner load for a compact marine boiler design.

In: 17th IFAC World Congress, toSeoul,  › Department of Engineering › Profiles › Prof. Jan Maciejowski. Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field IEEE Transactions on Robotics, Vol. 33, No. 5 Robust collision avoidance for multiple micro aerial vehicles using nonlinear model predictive control   () Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing.

Computers & Chemical Engineering() High-dimensional time series prediction using kernel-based Koopman mode ://   Model Predictive Control (MPC) predicts and optimizes time-varying processes over a future time horizon.

This control package accepts linear or nonlinear models. Using large-scale nonlinear programming solvers such as APOPT and IPOPT, it solves data reconciliation, moving horizon estimation, real-time optimization, dynamic simulation, and   Research Interests Our research interests are in the general areas of control, dynamics and optimization including both theory and applications, computational process modeling and simulation, and applied mathematics.

The central objective of our research is the development of novel methods for the systematic and rigorous solution of complex process control and systems engineering   The dynamic models of transport-reaction processes over finite spatial domains in which both the diffusion and convection transport mechanisms are important a number of control-relevant problems, such as nonlinear and robust N.H.

El-Farra, P.D. ChristofidesRobust hybrid predictive control of nonlinear systems. Automatica, 41 (), pp. Hongqiang Guo, et ng horizon control-based energy management for plug-in hybrid electric buses using a predictive model of terminal SOC constraint in consideration of stochastic vehicle mass Energy, (), pp./The primal-dual active-set method is used for solving model predictive control problems for large-scale systems with quadratic cost, linear dynamics, additive disturbance, and box constraints.

The proposed algorithm is compared with dual decomposition and an alternating direction method of ://  A Lecture on Model Predictive Control Jay H. Lee School of Chemical and Biomolecular Engineering Dynamic Control (every minute) Basic Dynamic Control (every second) • High OVHD C5, causing problems at Alky.

Control Objectives Constrained Control: