03047nam a22004095i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137082001400172100002800186245013800214264003800352300003400390336002600424337002600450338003600476347002400512490005500536505033700591520130800928650001702236650002002253650001702273650001302290650002902303650002802332700003102360710003402391773002002425776003602445830005502481856010102536978-0-85729-632-0DE-He21320260521092041.0cr nn 008mamaa110516s2011    xxk|    s    |||| 0|eng d  a9780857296320  a997808572963207 a10.1007/978-0-85729-632-02doi04a629.82231 aSong, Bongsob.eauthor.10aDynamic Surface Control of Uncertain Nonlinear Systemsh[electronic resource] :bAn LMI Approach /cby Bongsob Song, J. Karl Hedrick. 1aLondon :bSpringer London,c2011.  aXIV, 254 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aCommunications and Control Engineering,x0178-53540 aIntroduction -- Dynamic Surface Control -- Robustness to Uncertain Nonlinear Systems. Observer-based Dynamic Surface Control -- Constrained Stabilization Considering Input Saturation -- Fault-tolerant Control -- Fault-tolerant Control System for AHS -- Application to Mechanical Interconnected Systems -- Appendix: Proofs of Lemmas.  aAlthough the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems - DSC design, output feedback, input saturation and fault-tolerant control among them - are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux. 0aENGINEERING. 0aSYSTEMS THEORY.14aENGINEERING.24aCONTROL.24aSYSTEMS THEORY, CONTROL.24aAUTOMOTIVE ENGINEERING.1 aHedrick, J. Karl.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780857296313 0aCommunications and Control Engineering,x0178-535440uhttp://dx.doi.org/10.1007/978-0-85729-632-0zVer el texto completo en las instalaciones del CICY