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|a 9781461200772
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|a 10.1007/978-1-4612-0077-2
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|a (DE-He213)978-1-4612-0077-2
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| 100 |
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|a Boukas, El-Kebir.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
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|a Deterministic and Stochastic Time-Delay Systems
|h [electronic resource] /
|c by El-Kebir Boukas, Zi-Kuan Liu.
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| 250 |
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|a 1st ed. 2002.
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| 264 |
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1 |
|a Boston, MA :
|b Birkhäuser Boston :
|b Imprint: Birkhäuser,
|c 2002.
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| 300 |
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|a XVI, 423 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 347 |
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|b PDF
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| 490 |
1 |
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|a Control Engineering,
|x 2373-7719
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
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|a 1 Introduction -- 1.1 Examples -- 1.2 Notation and Abbreviations -- 1.3 Dynamical Systems with Time Delay -- 1.4 Outline of the Book -- 1.5 Notes -- I Deterministic Control -- 2 Deterministic Time Delay Systems -- 3 Stability and Stabilizability -- 4 Robust Stability and Robust Stabilizability -- 5 H?Control and Filtering -- 6 Robust H?Control, Filtering, and Guaranteed Cost Control -- II Stochastic Control -- 7 Stochastic Time Delay Systems -- 8 Stability and Stabilizability of Markov Jump Systems -- 9 Robust Stability and Stabilizability of Jump Linear Uncertain Systems with Time Delay -- 10 H?Control and Filtering Problems for Markov Jump Systems with Time Delay -- 11 Robust H?and Guaranteed Cost Control for Jump Linear Systems with Time Delay -- 12 Nonlinear Stochastic Control Problem -- A Linear Matrix Inequality and Preliminary Lemmas -- B Matrix Inversion Formulas -- C Kronecker Product -- D Markov Process -- References.
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| 520 |
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|a Most practical processes such as chemical reactor, industrial furnace, heat exchanger, etc., are nonlinear stochastic systems, which makes their con trol in general a hard problem. Currently, there is no successful design method for this class of systems in the literature. One common alterna tive consists of linearizing the nonlinear dynamical stochastic system in the neighborhood of an operating point and then using the techniques for linear systems to design the controller. The resulting model is in general an approximation of the real behavior of a dynamical system. The inclusion of the uncertainties in the model is therefore necessary and will certainly improve the performance of the dynamical system we want to control. The control of uncertain systems has attracted a lot of researchers from the control community. This topic has in fact dominated the research effort of the control community during the last two decades, and many contributions have been reported in the literature. Some practical dynamical systems have time delay in their dynamics, which makes their control a complicated task even in the deterministic case. Recently, the class ofuncertain dynamical deterministic systems with time delay has attracted some researchers, and some interesting results have been reported in both deterministic and stochastic cases. But wecan't claim that the control problem ofthis class ofsystems is completely solved; more work must be done for this class of systems.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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0 |
|a Probabilities.
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| 650 |
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|a Control engineering.
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| 650 |
|
0 |
|a Applied mathematics.
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| 650 |
|
0 |
|a Engineering mathematics.
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| 650 |
|
0 |
|a Vibration.
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| 650 |
|
0 |
|a Dynamical systems.
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| 650 |
|
0 |
|a Dynamics.
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| 650 |
|
0 |
|a Robotics.
|
| 650 |
|
0 |
|a Mechatronics.
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| 690 |
|
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|a Electronic resources (E-books)
|
| 700 |
1 |
|
|a Liu, Zi-Kuan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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0 |
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|t Springer eBooks
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| 830 |
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|a Control Engineering,
|x 2373-7719
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| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-1-4612-0077-2
|3 Click to view e-book
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