LEADER 01858nam 2200469Ia 450 001 9910696411203321 005 20080403103923.0 035 $a(CKB)5470000002378733 035 $a(OCoLC)218182316 035 $a(EXLCZ)995470000002378733 100 $a20080403d2007 ua 0 101 0 $aeng 135 $aurcn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvancing the fundamental sciences$b[electronic resource] $eproceedings of the Forest Service National Earth Sciences Conference, San Diego, CA, 18-22 October 2004 /$fMichael J. Furniss, Catherine F. Clifton, and Kathryn L. Ronnenberg, editors 210 1$aPortland, Or. :$cU.S. Forest Service, Pacific Northwest Research Station,$d[2007] 215 $a1 electronic text (2 volumes (iii, 577 pages)) $cHTML, digital, PDF file 225 1 $aGeneral technical report ;$vPNW-GTR-689 300 $aTitle from title screen (viewed on Mar. 28, 2008). 300 $a"October 2007." 300 $aIncludes index. 320 $aIncludes bibliographical references. 517 $aAdvancing the fundamental sciences 606 $aEarth sciences$zUnited States$vCongresses 606 $aForest management$zUnited States$vCongresses 606 $aWatershed management$zUnited States$vCongresses 608 $aConference papers and proceedings.$2lcgft 615 0$aEarth sciences 615 0$aForest management 615 0$aWatershed management 701 $aFurniss$b Michael J$01395254 701 $aClifton$b Catherine Faye$01415652 701 $aRonnenberg$b Kathryn L$01415653 712 02$aPacific Northwest Research Station (Portland, Or.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910696411203321 996 $aAdvancing the fundamental sciences$93518319 997 $aUNINA LEADER 03904nam 22005415 450 001 9910483847603321 005 20200706140402.0 010 $a1-4471-7437-2 024 7 $a10.1007/978-1-4471-7437-0 035 $a(CKB)4100000007823530 035 $a(DE-He213)978-1-4471-7437-0 035 $a(MiAaPQ)EBC5941248 035 $a(PPN)243764278 035 $a(EXLCZ)994100000007823530 100 $a20190329d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Programming for Impulse Feedback and Fast Controls $eThe Linear Systems Case /$fby Alexander B. Kurzhanski, Alexander N. Daryin 205 $a1st ed. 2020. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2020. 215 $a1 online resource (XIII, 275 p. 26 illus., 1 illus. in color.) 225 1 $aLecture Notes in Control and Information Sciences,$x0170-8643 ;$v468 300 $aIncludes index. 311 $a1-4471-7436-4 327 $aIntroduction: Why Impulses? -- Part I: Ordinary Impulses -- Open-Loop Impulse Control -- Closed-Loop Impulse Control -- Impulse Control under Uncertainty -- State-Constrained Impulse Control -- State Estimation Under Ordinary Impulsive Inputs -- Part II: Impulses of Higher Order. Realizability and Fast Control -- The Open-Loop and Closed-Loop Impulse Controls -- State-Constrained Control under Higher Impulses -- State Estimation and State-Constrained Control -- Generalized Duality Theory: The Increasing and Decreasing Lagrangian Scales -- Realistic Controls -- Closed-Loop Fast Controls -- Appendix: Uniqueness of Viscosity Solutions. 330 $aDynamic Programming for Impulse Feedback and Fast Controls offers a description of feedback control in the class of impulsive inputs. This book deals with the problem of closed-loop impulse control based on generalization of dynamic programming techniques in the form of variational inequalities of the Hamilton?Jacobi?Bellman type. It provides exercises and examples in relation to software, such as techniques for regularization of ill-posed problems. It also gives an introduction to applications such as hybrid dynamics, control in arbitrary small time, and discontinuous trajectories. This book walks the readers through: the design and description of feedback solutions for impulse controls; the explanation of impulses of higher order that are derivatives of delta functions; the description of their physically realizable approximations - the fast controls and their approximations; the treatment of uncertainty in impulse control and the applications of impulse feedback. Of interest to both academics and graduate students in the field of control theory and applications, the book also protects users from common errors, such as inappropriate solution attempts, by indicating Hamiltonian techniques for hybrid systems with resets. 410 0$aLecture Notes in Control and Information Sciences,$x0170-8643 ;$v468 606 $aAutomatic control 606 $aSystem theory 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 615 0$aAutomatic control. 615 0$aSystem theory. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 676 $a519.703 700 $aKurzhanski$b Alexander B$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721236 702 $aDaryin$b Alexander N$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483847603321 996 $aDynamic Programming for Impulse Feedback and Fast Controls$91914838 997 $aUNINA