000			04271nam a22005175i 4500
001			978-3-319-08711-5
003			DE-He213
005			20200420220223.0
007			cr nn 008mamaa
008			140721s2015 gw | s |||| 0|eng d
020			_a9783319087115 _9978-3-319-08711-5
024	7		_a10.1007/978-3-319-08711-5 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aHu, Jun. _eauthor.
245	1	0	_aNonlinear Stochastic Systems with Network-Induced Phenomena _h[electronic resource] : _bRecursive Filtering and Sliding-Mode Design / _cby Jun Hu, Zidong Wang, Huijun Gao.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXV, 223 p. 79 illus., 77 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aRecursive Filtering with Missing Measurements and Quantized Effects -- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated -- Noises -- Probability-Guaranteed H∞ Finite Horizon Filtering with Sensor Saturations -- H∞ Sliding Mode Observer Design for Nonlinear Time-Delay Systems -- Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities -- Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time-Delays.
520			_aThis monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: �        the state-of-the-art of nonlinear filtering and control; �        recent advances in recursive filtering and sliding mode control; and �        their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities, and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.
650		0	_aEngineering.
650		0	_aSystem theory.
650		0	_aProbabilities.
650		0	_aControl engineering.
650		0	_aElectrical engineering.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aSystems Theory, Control.
700	1		_aWang, Zidong. _eauthor.
700	1		_aGao, Huijun. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319087108
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-08711-5
912			_aZDB-2-ENG
942			_cEBK
999			_c52000 _d52000