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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319087115
_9978-3-319-08711-5
024 7 _a10.1007/978-3-319-08711-5
_2doi
035 _ato000557508
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aHu, Jun.
_eauthor.
_9463707
245 1 0 _aNonlinear Stochastic Systems with Network-Induced Phenomena
_helectronic resource
_bRecursive Filtering and Sliding-Mode Design /
_cby Jun Hu, Zidong Wang, Huijun Gao.
260 _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
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.
_9224332
650 0 _aSystem theory.
_9460201
650 0 _aProbabilities.
_9295556
650 0 _aControl Engineering.
_9304706
650 0 _aelectrical engineering.
_9312089
650 1 4 _aEngineering.
_9224332
650 2 4 _acontrol.
_9348605
650 2 4 _aProbability Theory and Stochastic Processes.
_9303734
650 2 4 _aCommunications Engineering, Networks.
_9566275
650 2 4 _aSystems Theory, Control.
_9304010
700 1 _aWang, Zidong.
_eauthor.
_9463708
700 1 _aGao, Huijun.
_eauthor.
_9450351
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-08711-5
912 _aZDB-2-ENG
999 _c412847