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Developments in Model-Based Optimization and Control

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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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