2016
DOI: 10.1186/s13634-016-0350-2
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Distributed piecewise filtering design for large-scale networked nonlinear systems

Abstract: This paper investigates the problem of distributed piecewise H ∞ filtering for discrete-time large-scale nonlinear systems. The considered large-scale system is composed of a number of nonlinear subsystems and exchanges its information through communication network. Each nonlinear subsystem is described by a Takagi-Sugeno (T-S) model, and data-packet dropouts happen intermittently in communication network, and its stochastic variables are assumed to satisfy the Bernoulli random-binary distribution. Our objecti… Show more

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Cited by 3 publications
(4 citation statements)
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“…A double-inverted pendulum (DIP) is borrowed to verify the applicability of developed results [41], [42]. As stated in [41] and [42], the equation of DIP is described bẏ…”
Section: B Examplementioning
confidence: 99%
See 1 more Smart Citation
“…A double-inverted pendulum (DIP) is borrowed to verify the applicability of developed results [41], [42]. As stated in [41] and [42], the equation of DIP is described bẏ…”
Section: B Examplementioning
confidence: 99%
“…where x i1 angle of the pendulum; Similar to [41], by discretizing the DIP with sampling period T = 0.01 s, the corresponding DIP is reestablished as the FMSSs: Plant Rule 1:…”
Section: B Examplementioning
confidence: 99%
“…R a r a (6) By using a typical continuous-time adaptation rule, Eq. 6leads to the following differential equation (linear GNN):…”
Section: Background Of Dgnn For Ar Parameters Estimationmentioning
confidence: 99%
“…The neural network consists of a large number of simple devices; each one computes little more than weighted sums. Consequently the complexity of computation can be dramatically reduced and the total computation time is comparable to the response time of a single processor which can be very small [6][7][8].…”
Section: Introductionmentioning
confidence: 99%