03086oam 2200433 450 991073409520332120190911103512.01-4614-6943-010.1007/978-1-4614-6943-8(OCoLC)840822111(MiFhGG)GVRL6UJU(EXLCZ)99267000000036009920130404d2013 uy 0engurun|---uuuuatxtccrModern linear control design a time-domain approach /Paolo Caravani1st ed. 2013.New York :Springer,2013.1 online resource (xi, 114 pages) illustrations (some color)Gale eBooksIncludes index.1-4899-8682-0 1-4614-6942-2 Includes bibliographical references and index.Introduction to the Control Problem -- SIMO, x observed, w = 0 -- SISO, x unobserved, w = 0 -- MIMO, x observed, w = 0 -- MIMO, x unobserved, w = 0 -- MIMO, x observed, w 6= 0 unobserved, norm-bounded -- MIMO, x;w observed, w 6= 0 -- MIMO, x;w unobserved, w 6= 0 exogenously generated.This book offers a compact introduction to modern linear control design.  The simplified overview presented of linear time-domain methodology paves the road for the study of more advanced non-linear techniques. Only rudimentary knowledge of linear systems theory is assumed - no use of Laplace transforms or frequency design tools is required. Emphasis is placed on assumptions and logical implications, rather than abstract completeness; on interpretation and physical meaning, rather than theoretical formalism; on results and solutions, rather than derivation or solvability.  The topics covered include transient performance and stabilization via state or output feedback; disturbance attenuation and robust control; regional eigenvalue assignment and constraints on input or output variables; asymptotic regulation and disturbance rejection. Lyapunov theory and Linear Matrix Inequalities (LMI) are discussed as key design methods. All methods are demonstrated with MATLAB to promote practical use and comprehension.   ·         Provides a single-source, compact and practical introduction to modern linear control design, including fast and effective design methods; ·         Includes a state-of-the-art overview of time-domain linear methods; ·         Covers methods typically dispersed in numerous books, such as constraints on control variables, control robustness and the Asymptotic Regulation problem; ·         Uses examples from numerous application fields with solutions in MATLAB.Linear control systemsDesignLinear control systemsDesign.629.8Caravani Paoloauthttp://id.loc.gov/vocabulary/relators/aut18053MiFhGGMiFhGGBOOK9910734095203321Modern Linear Control Design3400419UNINA