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论文类型：会议论文
发表时间：2012-12-07
收录刊物：EI、CPCI-S、SCIE、Scopus
页面范围：205-209
关键字：parameter identification; microbial continuous fermentation; PSO
摘要：In this paper, a dynamic system is improved to describe microbial continuous fermentation. Taking the average relative error as the objective function, a parameter identification model is built, the existence of optimal parameters is proved, and the Improved Particle Swarm Optimization (PSO) algorithm is used for solving the optimal parameters. The numerical results show that, the average relative error is cut down by 4.136%similar to 9.248%, and the dynamic system can describe microbial continuous fermentation better.