Ganguli, Souvik and Kaur, Gagandeep and Sarkar, Prasanta and Rajest, S. Suman (2020) An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm. In: An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm. Springer, pp. 203-211.
Full text not available from this repository. (Request a copy)Abstract
This chapter addresses the identification of linear dynamic framework with static nonlinearity in the delta domains, dependent on the firefly-centered hybrid metaheuristic algorithm that integrates firefly algorithm (FA) with the dynamic flower pollination algorithm (dFPA). FA analyzes the complete search domain, whereas the dFPA is utilized in the process of refining the solutions. The two models (Wiener and Hammerstein models) are used in the process of identifying the delta domains. The delta operator’s parameterization joins the system models of continuous systems and the discrete-delta results at a high sampling limit. The hybrid algorithm proves its superiority as compared to other algorithms existing in the literature.
Item Type: | Book Section |
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Subjects: | Computer Applications > Cloud Computing |
Domains: | Computer Applications |
Depositing User: | Mr IR Admin |
Date Deposited: | 27 Sep 2024 04:44 |
Last Modified: | 27 Sep 2024 04:44 |
URI: | https://ir.vistas.ac.in/id/eprint/7405 |