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Developments in Model-Based Optimization and Control

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Cover of 'Developments in Model-Based Optimization and Control'

Table of Contents

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    Book Overview
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    Chapter 1 Complexity Certifications of First-Order Inexact Lagrangian Methods for General Convex Programming: Application to Real-Time MPC
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    Chapter 2 Fully Inverse Parametric Linear/Quadratic Programming Problems via Convex Liftings
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    Chapter 3 Implications of Inverse Parametric Optimization in Model Predictive Control
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    Chapter 4 Distributed Robust Model Predictive Control of Interconnected Polytopic Systems
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    Chapter 5 Optimal Distributed-Coordinated Approach for Energy Management in Multisource Electric Power Generation Systems
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    Chapter 6 Evolutionary Game-Based Dynamical Tuning for Multi-objective Model Predictive Control
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    Chapter 7 A Model Predictive Control-Based Architecture for Cooperative Path-Following of Multiple Unmanned Aerial Vehicles
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    Chapter 8 Predictive Control for Path-Following. From Trajectory Generation to the Parametrization of the Discrete Tracking Sequences
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    Chapter 9 Formation Reconfiguration Using Model Predictive Control Techniques for Multi-agent Dynamical Systems
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    Chapter 10 Optimal Operation of a Lumostatic Microalgae Cultivation Process
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    Chapter 11 Bioprocesses Parameter Estimation by Heuristic Optimization Techniques
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    Chapter 12 Real-Time Experimental Implementation of Predictive Control Schemes in a Small-Scale Pasteurization Plant
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    Chapter 13 An Optimization-Based Framework for Impulsive Control Systems
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    Chapter 14 Robustness Issues in Control of Bilinear Discrete-Time Systems—Applied to the Control of Power Converters
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    Chapter 15 On the LPV Control Design and Its Applications to Some Classes of Dynamical Systems
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    Chapter 16 Ultimate Bounds and Robust Invariant Sets for Linear Systems with State-Dependent Disturbances
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    Chapter 17 RPI Approximations of the mRPI Set Characterizing Linear Dynamics with Zonotopic Disturbances
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Title
Developments in Model-Based Optimization and Control
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-26687-9
ISBNs
978-3-31-926685-5, 978-3-31-926687-9
Editors

Sorin Olaru, Alexandra Grancharova, Fernando Lobo Pereira

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Student > Ph. D. Student 7 22%
Researcher 3 9%
Student > Doctoral Student 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Engineering 17 53%
Agricultural and Biological Sciences 2 6%
Computer Science 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 8 25%