000 | 02791nam a22004935i 4500 | ||
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001 | 978-3-540-69438-0 | ||
003 | DE-He213 | ||
005 | 20161121231201.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540694380 _9978-3-540-69438-0 |
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024 | 7 |
_a10.1007/978-3-540-69438-0 _2doi |
|
050 | 4 | _aTJ212-225 | |
072 | 7 |
_aTJFM _2bicssc |
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072 | 7 |
_aTEC004000 _2bisacsh |
|
082 | 0 | 4 |
_a629.8 _223 |
100 | 1 |
_aGeering, Hans P. _eauthor. |
|
245 | 1 | 0 |
_aOptimal Control with Engineering Applications _h[electronic resource] / _cby Hans P. Geering. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
|
300 |
_aIX, 134 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aOptimal Control -- Optimal State Feedback Control -- Differential Games. | |
520 | _aBecause the theoretical part of the book is based on the calculus of variations, the exposition is very transparent and requires mostly a trivial mathematical background. In the case of open-loop optimal control, this leads to Pontryagin’s Minimum Principle and, in the case of closed-loop optimal control, to the Hamilton-Jacobi-Bellman theory which exploits the principle of optimality. Many optimal control problems are solved completely in the body of the text. Furthermore, all of the exercise problems which appear at the ends of the chapters are sketched in the appendix. The book also covers some material that is not usually found in optimal control text books, namely, optimal control problems with non-scalar-valued performance criteria (with applications to optimal filtering) and Lukes’ method of approximatively-optimal control design. Furthermore, a short introduction to differential game theory is given. This leads to the Nash-Pontryagin Minimax Principle and to the Hamilton-Jacobi-Nash theory. The reason for including this topic lies in the important connection between the differential game theory and the H-control theory for the design of robust controllers. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aSystem theory. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aMechatronics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aControl. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aSystems Theory, Control. |
650 | 2 | 4 | _aControl, Robotics, Mechatronics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540694373 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-69438-0 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c509791 _d509791 |