Sparsity-Constrained Linear Dynamical Systems

Name: Sparsity-Constrained Linear Dynamical Systems
Brand: Springer, Berlin
SKU: 9789819770892
Price: 136.98 EUR
Availability: InStock

From Compressed Sensing to Control Theory

Автор: Geethu Joseph, Chandra R. Murthy

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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136.98 € 267.91 лв

This volume provides a comprehensive overview of recent research advances in the upcoming field of s...

Информация за книгата

Автор

Geethu Joseph, Chandra R. Murthy

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2024

страници

180

EAN

9789819770892

Enbook ID

46574783

Издател

Springer, Berlin

Теглоt

291

Размери

155 x 235

Пълно описание

This volume provides a comprehensive overview of recent research advances in the upcoming field of sparse control and state estimation of linear dynamical systems. The contents offer a detailed introduction to the subject by combining classical control theory and compressed sensing. It covers conceptual foundations, including the formulation, theory, and algorithms, and outlines numerous remaining research challenges. Specifically, the book provides a detailed discussion on observability, controllability, and stabilizability under sparsity constraints. It also presents efficient, systematic, and rigorous approaches to estimating the sparse initial states and designing sparse control inputs. It also gives background materials from real analysis and probability theory and includes applications in network control, wireless communication, and image processing. It serves as a compendious source for graduate students and researchers in signal processing and control systems to acquire a thorough understanding of the underlying unified themes. The academic and industrial professionals working on the design and optimization of sparsity-constrained systems also benefit from the exposure to the array of recent works on linear dynamical systems and related mathematical machinery.

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Sparsity-Constrained Linear Dynamical Systems

From Compressed Sensing to Control Theory

Информация за книгата

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