| 000 | 05159nam a2201057 i 4500 | ||
|---|---|---|---|
| 001 | 5263864 | ||
| 003 | IEEE | ||
| 005 | 20200421114113.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151221s1999 nyua ob 001 eng d | ||
| 020 |
_a9780470545515 _qelectronic |
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| 020 |
_z9780780334083 _qprint |
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| 020 |
_z0470545518 _qelectronic |
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| 024 | 7 |
_a10.1109/9780470545515 _2doi |
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| 035 | _a(CaBNVSL)mat05263864 | ||
| 035 | _a(IDAMS)0b000064810c3c60 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQP33.6.M36 _bK48 2000eb |
|
| 082 | 0 | 4 |
_a571.7/015118 _222 |
| 100 | 1 |
_aKhoo, Michael C. K., _eauthor. |
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| 245 | 1 | 0 |
_aPhysiological control systems : _banalysis, simulation, and estimation / _cMichael C.K. Khoo. |
| 264 | 1 |
_aNew York : _bIEEE Press, _cc2000. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1999] |
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| 300 |
_a1 PDF (xvii, 319 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aIEEE Press series on biomedical engineering ; _v2 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aPreface. Acknowledgments. Introduction. Mathematical Modeling. Static Analysis of Physiological Systems. Time-Domain Analysis of Linear Control Systems. Frequency-Domain Analysis of Linear Control Systems. Stability Analysis: Linear Approaches. Identification of Physiological Control Systems. Optimization in Physiological Control. Nonlinear Analysis of Physiological Control Systems. Complex Dynamics in Physiological Control Systems. Appendix I: Commonly Used Laplace Transform Pairs. Appendix II: List of MATLAB and SIMULINK Programs/Functions. Index. About the Author. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aMany recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling. This comprehensive book will help undergraduate and graduate students and biomedical scientists to gain a better understanding of how the principles of control theory, systems analysis, and model identification are used in physiological regulation. Ample Simulink? and MATLAB? examples throughout the text and posted at an IEEE FTP site will provide you with a hands-on approach for exploring modeling and analysis of biological control systems. You will learn about classical control theory and its application to physiological systems, and contemporary topics and methodologies shaping bioengineering research today. Discussions on the latest developments in system identification, optimal control, and nonlinear dynamical analysis will keep you up-to-date with recent bioengineering advances. From modeling and stability analysis to feedback control in physiological regulatory mechanisms, Physiological Control Systems provides an in-depth study of key bioengineering principles that is simply unmatched in the field. An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/hoo. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/21/2015. | ||
| 650 | 0 |
_aPhysiology _xMathematical models. |
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| 650 | 0 |
_aBiological control systems _xMathematical models. |
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| 655 | 0 | _aElectronic books. | |
| 695 | _aAnalytical models | ||
| 695 | _aAtmospheric modeling | ||
| 695 | _aBiographies | ||
| 695 | _aChaos | ||
| 695 | _aChemical elements | ||
| 695 | _aChemicals | ||
| 695 | _aComputational modeling | ||
| 695 | _aControl systems | ||
| 695 | _aData models | ||
| 695 | _aDeconvolution | ||
| 695 | _aEquations | ||
| 695 | _aEstimation | ||
| 695 | _aFluids | ||
| 695 | _aForce | ||
| 695 | _aFrequency response | ||
| 695 | _aHeating | ||
| 695 | _aIndexes | ||
| 695 | _aLaplace equations | ||
| 695 | _aLinear systems | ||
| 695 | _aLogistics | ||
| 695 | _aLungs | ||
| 695 | _aMATLAB | ||
| 695 | _aMathematical model | ||
| 695 | _aMercury (metals) | ||
| 695 | _aMuscles | ||
| 695 | _aNegative feedback | ||
| 695 | _aNoise | ||
| 695 | _aNonlinear dynamical systems | ||
| 695 | _aOptimization | ||
| 695 | _aOscillators | ||
| 695 | _aPredictive models | ||
| 695 | _aResistance | ||
| 695 | _aResonant frequency | ||
| 695 | _aSprings | ||
| 695 | _aStability analysis | ||
| 695 | _aSteady-state | ||
| 695 | _aSystem identification | ||
| 695 | _aTemperature measurement | ||
| 695 | _aTemperature sensors | ||
| 695 | _aTime domain analysis | ||
| 695 | _aTime frequency analysis | ||
| 695 | _aTime measurement | ||
| 695 | _aTransfer functions | ||
| 695 | _aTransient analysis | ||
| 695 | _aTransient response | ||
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
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| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
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| 776 | 0 | 8 |
_iPrint version: _z9780780334083 |
| 830 | 0 |
_aIEEE Press series on biomedical engineering ; _v2 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263864 |
| 942 | _cEBK | ||
| 999 |
_c59439 _d59439 |
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