000			03464cam a2200481 i 4500
003			OCoLC
005			20221102235456.0
008			190408s2019 pau f b 001 0 eng d
010			_z 2019016832
011			_aDirect search result
011			_aMARC Score : 11000(21650) : OK
020			_a1611975832 _qalk. paper
020			_a9781611975833 _qalk. paper
035			_a(ATU)b27003504
040			_aDLC _beng _erda _cDLC _dJ2I _dOCLCO _dOCLCF _dUIU _dATU
042			_apcc
050	1	0	_aTJ220.5
082	0	0	_a629.7 _223
099			_a629.7 FER
100	1		_aFerrara, Antonella, _eauthor. _9887646
245	1	0	_aAdvanced and optimization based sliding mode control : _btheory and applications / _cA. Ferrara, G. P. Incremona, M. Cucuzzella. .
264		1	_aPhiladelphia : _bSociety for Industrial and Applied Mathematics, _c[2019]
264		4	_c©2019
300			_axxi, 289 pages : _billustrations ; _c25cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aAdvances in design and control ; _v34
504			_aIncludes bibliographical references and index.
505	0		_aTheory of classical sliding mode control -- Introduction to higher order sliding mode control -- Constrained SMC -- Optimization based SMC -- SMC for networked systems -- Adaptive SMC algorithms -- Advanced SMC of robots -- Advanced SMC of microgrids.
520			_aA compendium of the authors' recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new methods of advanced sliding mode control. They analyze classical theory and advanced algorithms, with numerical results complementing the theoretical treatment. Case studies examine applications of the algorithms to complex robotics and power grid problems. Advanced and Optimization Based Sliding Mode Control: Theory and Applications is the first book to systematize the theory of optimization based higher order sliding mode control and illustrate advanced algorithms and their applications to real problems. It presents systematic treatment of event-triggered and model based event-triggered sliding mode control schemes, including schemes in combination with model predictive control, and presents adaptive algorithms as well as algorithms capable of dealing with state and input constraints. Additionally, the book includes simulations and experimental results obtained by applying the presented control strategies to real complex systems. -- Publisher's site.
650		0	_aSliding mode control. _9329014
700	1		_aIncremona, G. P., _eauthor. _9955485
700	1		_aCucuzzella, M., _eauthor. _9955487
710	2		_aSociety for Industrial and Applied Mathematics, _epublisher. _9252289
776	1		_iElectronic version: _aFerrara, Antonella, author. _tAdvanced and optimization based sliding mode control _dPhiladelphia : Society for Industrial and Applied Mathematics, [2019] _w2019016832 _w(OCoLC)1096231997
776	1	8	_w(OCoLC)1096231997
830		0	_aAdvances in design and control ; _vDC34. _91067507
907			_a.b27003504 _b06-09-21 _c17-07-19
942			_cB
945			_a629.7 FER _g1 _iA535948B _j0 _lcmain _o- _p$134.39 _q- _r- _s- _t0 _u1 _v4 _w0 _x1 _y.i13641736 _z02-08-19
998			_a(2)b _a(2)c _b22-07-19 _cm _da _feng _gpau _h0
999			_c1506496 _d1506496