LEADER 03531nam  22006135  450 
001 9910483310403321
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010   $a981-15-3438-1
024 7 $a10.1007/978-981-15-3438-6
035   $a(CKB)4100000011508872
035   $a(MiAaPQ)EBC6381024
035   $a(DE-He213)978-981-15-3438-6
035   $a(PPN)258088206
035   $a(EXLCZ)994100000011508872
100   $a20201016d2021      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSymplectic Pseudospectral Methods for Optimal Control $eTheory and Applications in Path Planning /$fby Xinwei Wang, Jie Liu, Haijun Peng
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (XI, 178 p. 109 illus., 98 illus. in color.) 
225 1 $aIntelligent Systems, Control and Automation: Science and Engineering,$x2213-8994 ;$v97
311 08$a981-15-3437-3 
327   $aBackground -- Numerical methods for computational optimal control -- Mathematical foundations -- SPM for general nonlinear unconstrained optimal control problems -- SPM for nonlinear optimal control problems with inequality constraints -- SPM for nonlinear state-delayed optimal control problems -- From open-loop to closed-loop: Model predictive control -- Optimal maneuver of spacecraft -- Optimal path planning of UGS -- Overhead crane -- Carrier aircraft (traction system) -- Optimal vaccination strategy for a seasonally varying epidemic model.
330   $aThe book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental principles and engineering practice are addressed. Symplectic pseudospectral methods for nonlinear optimal control problems with complicated factors (i.e., inequality constraints, state-delay, unspecific terminal time, etc.) are solved under the framework of indirect methods. The methods developed here offer a high degree of computational efficiency and accuracy when compared with popular direct pseudospectral methods. The methods are applied to solve optimal control problems arising in various engineering fields, particularly in path planning problems for autonomous vehicles. Given its scope, the book will benefit researchers, engineers and graduate students in the fields of automatic control, path planning, ordinary differential equations, etc. .
410  0$aIntelligent Systems, Control and Automation: Science and Engineering,$x2213-8994 ;$v97
606   $aAutomatic control
606   $aMathematical optimization
606   $aCalculus of variations
606   $aAutomotive engineering
606   $aControl and Systems Theory
606   $aCalculus of Variations and Optimization
606   $aAutomotive Engineering
615  0$aAutomatic control.
615  0$aMathematical optimization.
615  0$aCalculus of variations.
615  0$aAutomotive engineering.
615 14$aControl and Systems Theory.
615 24$aCalculus of Variations and Optimization.
615 24$aAutomotive Engineering.
676   $a629.836
700   $aWang$b Xinwei$0933629
702   $aLiu$b Jie
702   $aPeng$b Haijun
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483310403321
996   $aSymplectic pseudospectral methods for optimal control$92854000
997   $aUNINA