03422nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153050002000167072001700187072002300204072001600227100007700243245015800320250001800478264007200496300004200568336002600610337002600636338003600662347002400698490007400722505021300796520129501009650002502304650001402329650001602343650003202359650002302391650003502414650003202449650002302481650003202504700008002536710003402616773002602650776003602676776003602712776003602748830007402784856004602858978-981-97-7090-8DE-He21320251030114613.0cr nn 008mamaa241211s2024    si |    s    |||| 0|eng d  a97898197709087 a10.1007/978-981-97-7090-82doi 4aTJ212-225 4aTJ210.2-211.495 7aTJFM2bicssc 7aTEC0070002bisacsh 7aTJFM2thema1 aJoseph, Geethu.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aSparsity-Constrained Linear Dynamical Systemsh[electronic resource] :bFrom Compressed Sensing to Control Theory /cby Geethu Joseph, Chandra R. Murthy.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVI, 98 p. 3 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringer Tracts in Electrical and Electronics Engineering,x2731-42190 aSparsity in Linear Systems -- Sparse Initial State: Estimation Algorithms -- Sparse Initial State: Theoretical Guarantees -- Sparse Control Inputs: Algorithms -- Sparse Control Inputs: Theoretical Guarantees.  aThis 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. . 0aControl engineering. 0aRobotics. 0aAutomation. 0aComputational intelligence. 0aDynamical systems.14aControl, Robotics, Automation.24aComputational Intelligence.24aDynamical Systems.24aControl and Systems Theory.1 aMurthy, Chandra R.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981977089208iPrinted edition:z978981977091508iPrinted edition:z9789819770922 0aSpringer Tracts in Electrical and Electronics Engineering,x2731-421940uhttps://doi.org/10.1007/978-981-97-7090-8