LEADER 02211nam 2200397 450 001 9910828141903321 005 20230807203140.0 010 $a3-8325-9517-1 035 $a(CKB)4340000000244133 035 $a(MiAaPQ)EBC5231222 035 $a58a1c68b-3c90-4fa6-9896-3edeb0dd2d03 035 $a(EXLCZ)994340000000244133 100 $a20180523d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aController and network design exploiting system structure /$fSimone Schuler 210 1$aBerlin :$cLogos Verlag Berlin,$d[2015] 210 4$dİ2015 215 $a1 online resource (133 pages) 300 $aPublicationDate: 20150315 311 $a3-8325-3924-7 330 $aLong description: We consider the problem of decentralized controller and network design under communication constraints. Traditionally, this problem is solved in a two-step approach by first deciding on a topology and then designing the dynamical couplings. In this thesis, we present a new approach by solving the problem of topology design and dynamics within one joint optimization problem. Structure design is then done subject to classical performance constraints on the closed loop system. We develop computationally efficient formulations by means of convex relaxations. This makes the proposed design methods attractive for practical applications and allows a tradeoff between sparsity of the subsystem interactions and achievable performance. We further introduce the concept of an l0-system gain for discrete linear time invariant systems, inspired by classical system gains from robust control. With this newly introduced system gain, we give a system theoretic explanation of the sparse closed loop response of l1-optimally controlled systems. 606 $aStructural optimization 615 0$aStructural optimization. 676 $a624.17 700 $aSchuler$b Simone$01646205 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828141903321 996 $aController and network design exploiting system structure$93993076 997 $aUNINA