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Titlebook: Nonlinear Stochastic Systems with Network-Induced Phenomena; Recursive Filtering Jun Hu,Zidong Wang,Huijun Gao Book 2015 Springer Internat

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發(fā)表于 2025-3-21 17:13:32 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nonlinear Stochastic Systems with Network-Induced Phenomena
副標(biāo)題Recursive Filtering
編輯Jun Hu,Zidong Wang,Huijun Gao
視頻videohttp://file.papertrans.cn/668/667699/667699.mp4
概述Synthesizes existing with emerging concepts of sliding modes and recursive filtering to maximize the reader’s ability to deal with network-induce phenomena.Research problems in each chapter well motiv
圖書封面Titlebook: Nonlinear Stochastic Systems with Network-Induced Phenomena; Recursive Filtering  Jun Hu,Zidong Wang,Huijun Gao Book 2015 Springer Internat
描述.This 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 inequalit
出版日期Book 2015
關(guān)鍵詞Communication Delay; Network-induced Phenomena; Nonlinear Systems; Packet Dropout; Randomly-occurring Un
版次1
doihttps://doi.org/10.1007/978-3-319-08711-5
isbn_softcover978-3-319-35929-8
isbn_ebook978-3-319-08711-5
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Introduction,uced phenomena is introduced. The network-induced phenomena under consideration mainly include missing measurements, fading measurements, signal quantization, randomly occurring uncertainties and randomly occurring nonlinearities, probabilistic sensor delays, sensor saturations, random parameter mat
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Recursive Filtering with Missing Measurements and Quantized Effects, problem with multiple missing measurements is studied. Both deterministic and stochastic non-linearities are included in the system model. The phenomenon of measurement missing occurs in a random way, and the missing probability for each sensor is governed by an individual random variable satisfyin
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Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated Noises,ter matrices, multiple fading measurements, and correlated noises. The phenomenon of measurement fading occurs in a random way and the fading probability for each sensor is governed by an individual random variable obeying a certain probability distribution over the known interval. The purpose of th
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, Sliding Mode Observer Design for Nonlinear Time Delay Systems,escriptions quantify the maximum possible derivations from a linear model, and the system states are allowed to be immeasurable. A discrete-time discontinuous switched term is firstly proposed to make sure that the reaching condition holds. Then, by constructing a new Lyapunov–Krasovskii functional
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Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time Delays,e nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties (ROUs) and RONs obey certain mutually uncorrelated Bernoulli distributed white noise sequences with known conditional probabilities. The mixed time delays consist of bo
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