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|dc.identifier.citation||IEEE Transactions on Automatic Control, 2018; 63(5):1472-1479||-|
|dc.description.abstract||This paper is concerned with the problem of two-dimensional (2-D) stochastic peak-to-peak filter design for Fornasini-Marchesini local state-space (FM LSS) systems with state-multiplicative noise. First, a novel sufficient condition is established, which guarantees that the underlying FM LSS system is stochastically mean-square stable with 2-D stochastic peak-to-peak performance. A deterministic FM LSS system case is also discussed. Subsequently, based on the result, a new 2-D stochastic peak-to-peak filter of general form is designed for FM LSS systems with state-multiplicative noise. Finally, a numerical example is presented to show the effectiveness of the proposed 2-D stochastic peak-to-peak filter.||-|
|dc.description.statementofresponsibility||Choon Ki Ahn, Peng Shi and Michael V. Basin||-|
|dc.rights||© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.||-|
|dc.subject||Fornasini-Marchesini local state-space (FM LSS) model; stochastic peak-to-peak filtering; two-dimensional (2-D) systems||-|
|dc.title||Two-dimensional peak-to-peak filtering for stochastic Fornasini-Marchesini systems||-|
|dc.identifier.orcid||Shi, P. [0000-0001-8218-586X]||-|
|Appears in Collections:||Aurora harvest 3|
Electrical and Electronic Engineering publications
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