000			02266nam a22004215i 4500
001			978-3-8348-8202-8
003			DE-He213
005			20140220083819.0
007			cr nn 008mamaa
008			111121s2011 gw | s |||| 0|eng d
020			_a9783834882028 _9978-3-8348-8202-8
024	7		_a10.1007/978-3-8348-8202-8 _2doi
050		4	_aQA76.9.C65
072		7	_aUGK _2bicssc
072		7	_aCOM072000 _2bisacsh
082	0	4	_a003.3 _223
100	1		_aKirches, Christian. _eauthor.
245	1	0	_aFast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control _h[electronic resource] / _cby Christian Kirches.
264		1	_aWiesbaden : _bVieweg+Teubner Verlag, _c2011.
300			_aXX, 367p. 64 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aCurrent industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a demanding challenge. Starting with Bock's direct multiple shooting method for optimal control, Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding. In a sequential quadratic programming framework, extensive exploitation of arising structures in an active set method ultimately brings the developed algorithm towards real-time feasibility.
650		0	_aComputer science.
650		0	_aComputer simulation.
650		0	_aMathematics.
650	1	4	_aComputer Science.
650	2	4	_aSimulation and Modeling.
650	2	4	_aMathematics, general.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783834815729
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-8348-8202-8
912			_aZDB-2-SCS
999			_c108730 _d108730