LEADER 00910nam0-22003251i-450- 001 990003060130403321 005 20091204132416.0 035 $a000306013 035 $aFED01000306013 035 $a(Aleph)000306013FED01 035 $a000306013 100 $a20030910d1953----km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $a<>Economic Mind in American Civilization$e1606-1865$fBy Joseph Dorfman. 210 $aNew York$cViking$d1953. 215 $a2 v. (CV, 987 p.)$d22 cm 610 0 $aStati Uniti$aStoria economica 676 $aE/3 676 $aE/4 676 $aF/1.221 702 1$aDorfman,$bJoseph$f<1904-1991> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003060130403321 952 $aE/4 DOR/1$b04073 a$fSES 952 $aE/4 DOR/2$b04730 b$fSES 959 $aSES 996 $aEconomic Mind in American Civilization$9465254 997 $aUNINA LEADER 01278cam0 2200289 450 001 E600200008707 005 20240201075436.0 010 $a8814104573 100 $a20050215d2003 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $aCorpus Juris, pubblico ministero europeo e cooperazione internazionale. Atti del Convegno$eAlessandria, 19-21 ottobre 2001$fa cura di Marta Bargis e Serafino Nosengo 210 $aMilano$cGiuffrè$d2003 215 $aIX, 647 p.$d24 cm 225 2 $aMemorie della Facoltà di Giurisprudenza$fUniversità del Piemonte orientale Amedeo Avogadro$hSerie 2.$v10 410 1$1001LAEC00020459$12001 $a*Memorie della Facoltà di Giurisprudenza / Università del Piemonte orientale Amedeo Avogadro. Serie 2.$v10 702 1$aBargis, Marta$3AF00012848$4070 702 1$aNosengo, Serafino$3AF00022907$4070 801 0$aIT$bUNISOB$c20240201$gRICA 850 $aUNISOB 852 $aUNISOB$j340$m124546 912 $aE600200008707 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a340$b004892$gSi$d124546$racquisto$1pomicino$2UNISOB$3UNISOB$420050215104748.0$520240201075259.0$6rovito 996 $aCorpus Juris, pubblico ministero europeo e cooperazione internazionale. Atti del Convegno$91670500 997 $aUNISOB LEADER 05343nam 22006375 450 001 9910659484903321 005 20250627122556.0 010 $a3-031-23428-6 024 7 $a10.1007/978-3-031-23428-6 035 $a(MiAaPQ)EBC7192859 035 $a(Au-PeEL)EBL7192859 035 $a(CKB)26105657500041 035 $a(DE-He213)978-3-031-23428-6 035 $a(PPN)268206856 035 $a(EXLCZ)9926105657500041 100 $a20230207d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Optimization of Path-Constrained Switched Systems /$fby Jun Fu, Chi Zhang 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (113 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v459 311 08$aPrint version: Fu, Jun Dynamic Optimization of Path-Constrained Switched Systems Cham : Springer,c2023 9783031234279 320 $aIncludes bibliographical references. 327 $aIntroduction -- Bi-level dynamic optimization of path-constrained switched systems -- Single-level dynamic optimization of path-constrained switched systems -- Dynamic optimization of switched systems with free switching sequences -- Multi-objective dynamic optimization of path-constrained switched systems -- Conclusions and future work. 330 $aThis book provides a series of systematic theoretical results and numerical solution algorithms for dynamic optimization problems of switched systems within infinite-dimensional inequality path constraints. Dynamic optimization of path-constrained switched systems is a challenging task due to the complexity from seeking the best combinatorial optimization among the system input, switch times and switching sequences. Meanwhile, to ensure safety and guarantee product quality, path constraints are required to be rigorously satisfied (i.e., at an infinite number of time points) within a finite number of iterations. Several novel methodologies are presented by using dynamic optimization and semi-infinite programming techniques. The core advantages of our new approaches lie in two folds: i) The system input, switch times and the switching sequence can be optimized simultaneously. ii) The proposed algorithms terminate within finite iterations while coming witha certification of feasibility for the path constraints. In this book, first, we provide brief surveys on dynamic optimization of path-constrained systems and switched systems. For switched systems with a fixed switching sequence, we propose a bi-level algorithm, in which the input is optimized at the inner level, and the switch times are updated at the outer level by using the gradient information of the optimal value function calculated at the optimal input. We then propose an efficient single-level algorithm by optimizing the input and switch times simultaneously, which greatly reduces the number of nonlinear programs and the computational burden. For switched systems with free switching sequences, we propose a solution framework for dynamic optimization of path-constrained switched systems by employing the variant 2 of generalized Benders decomposition technique. In this framework, we adopt two different system formulations in the primal and master problem construction and explicitly characterize the switching sequences by introducing a binary variable. Finally, we propose a multi-objective dynamic optimization algorithm for locating approximated local Pareto solutions and quantitatively analyze the approximation optimality of the obtained solutions. This book provides a unified framework of dynamic optimization of path-constrained switched systems. It can therefore serve as a useful book for researchers and graduate students who are interested in knowing the state of the art of dynamic optimization of switched systems, as well as recent advances in path-constrained optimization problems. It is a useful source of up-to-date optimization methods and algorithms for researchers who study switched systems and graduate students of control theory and control engineering. In addition, it is also a useful source for engineers who work in the control and optimization fields such as robotics, chemical engineering and industrial processes. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v459 606 $aComputational intelligence 606 $aDynamics 606 $aNonlinear theories 606 $aEngineering mathematics 606 $aComputational Intelligence 606 $aApplied Dynamical Systems 606 $aEngineering Mathematics 615 0$aComputational intelligence. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aEngineering mathematics. 615 14$aComputational Intelligence. 615 24$aApplied Dynamical Systems. 615 24$aEngineering Mathematics. 676 $a780 676 $a629.836 700 $aFu$b Jun$0846124 702 $aZhang$b Chi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910659484903321 996 $aDynamic optimization of path-constrained switched systems$93363627 997 $aUNINA