LEADER 04024nam a2200445 i 4500 001 991003606079707536 006 m o d 007 cr cnu|||mamaa 008 190213s2017 sz a o 001 0 eng d 020 $a9783319607719$q(electronic bk.) 020 $a3319607715$q(electronic bk.) 020 $z9783319607702$q(print) 024 7 $a10.1007/978-3-319-60771-9$2doi 035 $ab14359029-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a515 084 $aAMS 49-06 084 $aLC QA402.3 245 00$aOptimal control: novel directions and applications$h[e-book] /$cDaniela Tonon, Maria Soledad Aronna, Dante Kalise, editors 264 1$aCham, Switzerland :$bSpringer,$c2017 300 $a1 online resource (xiv, 388 pages) :$billustrations (some color) 336 $atext$btxt$2rdacontent 337 $acomputer$bc$2rdamedia 338 $aonline resource$bcr$2rdacarrier 347 $atext file$bPDF$2rda 490 1 $aLecture notes in mathematics,$x0075-8434 ;$v2180 500 $aIncludes index 505 0 $a1. Optimality conditions (in Pontryagin form) -- 1.1 Introduction -- 1.2 -- On first order necessary conditions under pure state constraints -- 1.3 Optimality conditions and local regularity of the value function for the optimal exit time problem -- 1.4 Relaxation in Optimal Control -- 1.5 An Introduction to Optimal Control Problems with Time Delays -- 1.6 Variational Integrators for the Optimal Control of Mechanical Systems -- 1.7 Pointwise necessary second order conditions -- 1.8 On the shooting method for control-affine problems -- 1.9 On second order conditions in the optimal control of Partial Differential Equations -- 2.Hamilton-Jacobi-Bellman equations -- 2.1 Introduction -- 2.2 Hamilton-Jacobi-Bellman approach for State-Constrained Optimal Control Problems, by Cristopher Hermosilla and Athena Picarelli -- 2.3 Hamilton-Jacobi-Bellman approach for State-Constrained Optimal Control Problems -- 2.4 High-order schemes for Hamilton-Jacobi-Bellman equations -- 2.5 Conclusion -- 2.6 Some Recent Applications of Hamilton-Jacobi-Bellman equations -- 2.7 A Brief Survey on Semi-Lagrangian Schemes for Mean Field Games, by Roberto Guglielmi and Francisco Silva -- 3. Direct Optimal Control and Model Predictive Control -- 3.1 Introduction -- 3.2 MPC Stability -- 3.3 Numerical Methods for MPC -- 3.4 Applications 520 $aFocusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network's innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control. The novelty of the book resides in the fact that it has been developed by early career researchers, providing a good balance between clarity and scientific rigor. Each chapter features an introduction addressed to PhD students and some original contributions aimed at specialist researchers. Requiring only a graduate mathematical background, the book is self-contained. It will be of particular interest to graduate and advanced undergraduate students, industrial practitioners and to senior scientists wishing to update their knowledge 650 0$aControl theory 700 1 $aTonon, Daniela$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0785825 700 1 $aAronna, Maria Soledad$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0785826 700 1 $aKalise, Dante 776 08$iPrinted edition:$z9783319607702 856 40$uhttps://link.springer.com/book/10.1007/978-3-319-60771-9$zAn electronic book accessible through the World Wide Web 907 $a.b14359029$b07-04-22$c13-02-19 912 $a991003606079707536 996 $aOptimal control: novel directions and applications$91749603 997 $aUNISALENTO 998 $ale013$b13-02-19$cm$d@ $e-$feng$gsz $h0$i0