Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications
This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.

Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.

Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.

1147319846
Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications
This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.

Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.

Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.

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Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications

Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications

Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications

Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications

Overview

This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.

Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.

Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.

Product Details

ISBN-13: 9783031942389
Publisher: Springer Nature Switzerland
Publication date: 12/28/2025
Series: Mathematical Engineering
Pages: 265
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Secure State Estimation Algorithm for Discrete-Time Linear Systems: A Set-Valued Approach.- Interval Estimation for Linear Switched Systems using H∞ Ob server and Zonotopic Analysis.- Optimal Interval Observers for Bounded Jacobian Nonlinear Dynamical Systems.- Sliding–Mode–based Robust Interval Predictive Control for a Class of Uncertain and Constrained Systems.- Active Model Discrimination Algorithms for Switched Piecewise Affine Inclusion Systems with Temporal Logic Constraints.- Optimal separator for an ellipse; Application to localization.- Zonotopic Velocity Sensor Fault Detection for Autonomous Underwater Vehicle: an LMI Approach.- Robust State Feedback Control of LPV systems based on Zonotopic Kalman Filter.- Parameter Identification for Cooperative SOFC Models on the GPU.- Distributed Moving Horizon Estimation over a Sensor Network with Nonlinear Measurements and Pre-Estimation.

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