Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method
Joint Authors
Wang, Licheng
Wei, Guoliang
Luo, Yuqiang
Karimi, Hamid Reza
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper deals with a robust H∞ deconvolution filtering problem for discrete-time nonlinear stochastic systems with randomly occurring sensor delays.
The delayed measurements are assumed to occur in a random way characterized by a random variable sequence following the Bernoulli distribution with time-varying probability.
The purpose is to design an H∞ deconvolution filter such that, for all the admissible randomly occurring sensor delays, nonlinear disturbances, and external noises, the input signal distorted by the transmission channel could be recovered to a specified extent.
By utilizing the constructed Lyapunov functional relying on the time-varying probability parameters, the desired sufficient criteria are derived.
The proposed H∞ deconvolution filter parameters include not only the fixed gains obtained by solving a convex optimization problem but also the online measurable time-varying probability.
When the time-varying sensor delays occur randomly with a time-varying probability sequence, the proposed gain-scheduled filtering algorithm is very effective.
The obtained design algorithm is finally verified in the light of simulation examples.
American Psychological Association (APA)
Luo, Yuqiang& Wei, Guoliang& Karimi, Hamid Reza& Wang, Licheng. 2013. Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-500189
Modern Language Association (MLA)
Luo, Yuqiang…[et al.]. Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method. Abstract and Applied Analysis No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-500189
American Medical Association (AMA)
Luo, Yuqiang& Wei, Guoliang& Karimi, Hamid Reza& Wang, Licheng. Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-500189
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500189