TY - BOOK AU - Joseph,Geethu AU - Murthy,Chandra R. ED - SpringerLink (Online service) TI - Sparsity-Constrained Linear Dynamical Systems: From Compressed Sensing to Control Theory T2 - Springer Tracts in Electrical and Electronics Engineering, SN - 9789819770908 AV - TJ212-225 U1 - 629.8 23 PY - 2024/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Control engineering KW - Robotics KW - Automation KW - Computational intelligence KW - Dynamical systems KW - Control, Robotics, Automation KW - Computational Intelligence KW - Dynamical Systems KW - Control and Systems Theory N1 - Sparsity in Linear Systems -- Sparse Initial State: Estimation Algorithms -- Sparse Initial State: Theoretical Guarantees -- Sparse Control Inputs: Algorithms -- Sparse Control Inputs: Theoretical Guarantees N2 - 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. UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-7090-8 ER -