000			05869nam a22007451i 4500
001			8540358
003			IEEE
005			20200413152928.0
006			m eo d
007			cr cn |||m|||a
008			181128s2019 caua foab 000 0 eng d
020			_a9781681734385 _qebook
020			_z9781681734392 _qhardcover
020			_z9781681734378 _qpaperback
024	7		_a10.2200/S00875ED1V01Y201809EEL006 _2doi
035			_a(CaBNVSL)swl000408791
035			_a(OCoLC)1076493796
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aTK7872.C8 _bA824 2019
082	0	4	_a621.3132 _223
100	1		_aAsadi, Farzin, _eauthor.
245	1	0	_aModeling uncertainties in DC-DC converters with MATLAB® and PLECS® / _cFarzin Asadi, Sawai Pongswatd, Kei Eguchi, Ngo Lam Trung.
264		1	_a[San Rafael, California] : _bMorgan & Claypool, _c2019.
300			_a1 PDF (xi, 280 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aSynthesis lectures on electrical engineering, _x1559-8128 ; _v# 6
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
504			_aIncludes bibliographical references (pages 59-62).
505	0		_a1. Modeling uncertainties for a buck converter -- 1.1 Introduction -- 1.2 Uncertainty model -- 1.2.1 Parametric uncertainty -- 1.2.2 Unstructured uncertainty -- 1.2.3 Structured uncertainty -- 1.3 Robust control -- 1.3.1 Kharitonov's theorem -- 1.3.2 H[infinity] control -- 1.3.3 [mu] synthesis -- 1.4 Dynamics of a buck converter without uncertainty -- 1.5 Effect of component variations -- 1.6 Obtaining the unstructured uncertainty model of the converter -- 1.7 Obtaining the interval plant model of the converter -- 1.8 Obtaining the unstructured uncertainty model of the converter using PLECS® -- 1.9 Conclusion -- References --
505	8		_a2. Modeling uncertainties for a zeta converter -- 2.1 Introduction -- 2.2 The zeta converter -- 2.3 Calculation of steady-state operating point of the converter -- 2.4 Drawing the voltage gain ratio -- 2.5 Obtaining the small signal transfer functions of converter -- 2.6 Effect of load changes on the small signal transfer functions -- 2.7 Extraction of additive/multiplicative uncertainty models -- 2.8 Upper bound of additive/multiplicative uncertainty models -- 2.8.1 Extraction of uncertainty weights using the manual method -- 2.8.2 Extraction of uncertainty weights using the MATLAB® Ucover command -- 2.9 Testing the obtained uncertainty weights -- 2.10 Effect of components tolerances -- 2.11 Obtaining the uncertain model of the converter in precence of components tolerances -- 2.12 Testing the obtained uncertainty weights -- 2.13 Calculating the maximum/minimum of the transfer function coefficients -- 2.14 Analyzing the system without uncertainty -- 2.15 Audio susceptibility -- 2.16 Output impedance -- 2.17 Using the PLECS® to extract the uncertain model of the DC-DC converters -- 2.17.1 Additive uncertainty model -- 2.17.2 Multiplicative uncertainty model -- 2.18 Conclusion -- Authors' biographies.
506			_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520	3		_aModeling is the process of formulating a mathematical description of the system. A model, no matter how detailed, is never a completely accurate representation of a real physical system. A mathematical model is always just an approximation of the true, physical reality of the system dynamics. Uncertainty refers to the differences or errors between model and real systems and whatever methodology is used to present these errors will be called an uncertainty model. Successful robust control-system design would depend on, to a certain extent, an appropriate description of the perturbation considered. Modeling the uncertainties in the switch mode DC-DC converters is an important step in designing robust controllers. This book studies different techniques which can be used to extract the uncertain model of DC-DC converters. Once the uncertain model is extracted, robust control techniques such as H1 and synthesis can be used to design the robust controller. The book composed of two case studies. The first one is a buck converter and the second one is a Zeta converter. MATLAB® programming is used extensively throughout the book. Some sections use PLECS® as well. This book is intended to be guide for both academicians and practicing engineers.
530			_aAlso available in print.
588			_aTitle from PDF title page (viewed on November 28, 2018).
650		0	_aDC-to-DC converters _xMathematical models.
653			_aadditive uncertainty
653			_abuck converter
653			_aDC-DC power conversion
653			_aH1 control
653			_ainterval plant
653			_aKharitonov's theorem
653			_amultiplicative uncertainty
653			_arobust analysis
653			_arobust control
653			_astate space averaging
653			_auncertainty
653			_auncertainty models
653			_aunstructured uncertainty
653			_aZeta converter
700	1		_aPongswatd, Sawai, _eauthor.
700	1		_aEguchi, Kei, _d1972-, _eauthor.
700	1		_aTrung, Ngo Lam, _eauthor.
776	0	8	_iPrint version: _z9781681734378 _z9781681734392
830		0	_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on electrical engineering ; _v# 6. _x1559-8128
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8540358
999			_c562333 _d562333