Biblio
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2021. Investigation of Time-delay Nonlinear Dynamic System in Batch Fermentation with Differential Evolution Algorithm. 2021 International Conference on Information Technology and Biomedical Engineering (ICITBE). :101–104.
Differential evolution algorithm is an efficient computational method that uses population crossover and variation to achieve high-quality solutions. The algorithm is simple in principle and fast in solving global solutions, so it has been widely used in complex optimization problems. In this paper, we applied the differential evolution algorithm to a time-delay dynamic system for microbial fermentation of 1,3-propanediol and obtained an average error of 22.67% comparing to baseline error of 48.53%.
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2018. Simultaneous diagnosis of multiple parametric faults based on differential evolution algorithm. 2018 Chinese Control And Decision Conference (CCDC). :2781–2786.
This paper addresses analysis and design of multiple fault diagnosis for a class of Lipschitz nonlinear system. In order to automatically estimate multi-fault parameters efficiently, a new method of multi-fault diagnosis based on the differential evolution algorithm (DE) is proposed. Finally, a series of experiments validate the feasibility and effectiveness of the proposed method. The simulation show the high accuracy of the proposed strategies in multiple abrupt faults diagnosis.