Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: a survey
type: Item
instance of: scholarly article
title: Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: a survey
zbMATH Open document ID: 1264.93248
DOI: 10.1155/2012/530759
author: Bo Shen
author: Zidong Wang
author: Jinling Liang
author: Yurong Liu
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: Some recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed. The incomplete information under consideration mainly includes missing measurements, randomly varying sensor delays, signal quantization, sensor saturations, and signal sampling. With such incomplete information, the developments on various filtering and control issues are reviewed in great detail. In particular, the addressed nonlinear stochastic complex systems are so comprehensive that they include conventional nonlinear stochastic systems, different kinds of complex networks, and a large class of sensor networks. The corresponding filtering and control technologies for such nonlinear stochastic complex systems are then discussed. Subsequently, some latest results on the filtering and control problems for the complex systems with incomplete information are given. Finally, conclusions are drawn and several possible future research directions are pointed out.
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93-02
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 6173358
Wikidata QID: Q58911994
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/530759
OpenAlex ID: W2056456657
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