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Developments in Model-Based Optimization and Control

Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by

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1 Google+ user

Citations

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Readers on

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32 Mendeley
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Title
Developments in Model-Based Optimization and Control
Published by
Lecture Notes in Control and Information Sciences, 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2017.
All research outputs
#15,175,543
of 25,992,468 outputs
Outputs from Lecture Notes in Control and Information Sciences
#1
of 1 outputs
Outputs of similar age
#183,666
of 362,570 outputs
Outputs of similar age from Lecture Notes in Control and Information Sciences
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them