Paper
2 November 2022 A non-convex optimization method for identification of cascaded nonlinear systems
Yu Fu, Zhenlong Xiao
Author Affiliations +
Proceedings Volume 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022); 1245507 (2022) https://doi.org/10.1117/12.2655413
Event: International Conference on Signal Processing and Communication Security (ICSPCS 2022), 2022, Dalian, China
Abstract
Identification of cascaded dynamic nonlinear systems has received more and more attention since it can be applied to characterize a wide class of engineering problems. However, this problem is inherently non-convex, and few efforts have been devoted to identifying these systems. In this paper, we propose a novel non-convex optimization method for identifying the cascaded nonlinear systems. The identification problem is modeled as a multi-objective consensus problem. Numerical simulation shows that the proposed algorithm is able to alleviate the non-convex characteristic and identifying the nonlinear dynamic cascade systems.
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Yu Fu and Zhenlong Xiao "A non-convex optimization method for identification of cascaded nonlinear systems", Proc. SPIE 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022), 1245507 (2 November 2022); https://doi.org/10.1117/12.2655413
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KEYWORDS
Complex systems

Systems modeling

Numerical simulations

Optimization (mathematics)

System identification

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