文章基本信息

标题：Design and Analysis of Bayesian Model Predictive Controller
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作者：Yijian Liu ; Weixing Qian ; Liming Di 等
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2014
卷号：7
期号：3
页码：58
DOI：10.5539/cis.v7n3p58
出版社：Canadian Center of Science and Education
摘要：In this article, a novel predictive controller based on a Bayesian inferring nonlinear model (BMPC) is presented and analyzed. In the construction of the BMPC, the Bayesian inferring model is selected as the predictive model with the characteristics of on-line tracing ability to the actual controlled object. The nonlinear programming method called the steepest gradient is set as the receding horizon optimization algorithm of the BMPC. The on-line controller output is obtained using this method. The convergence analysis of the proposed BMPC is given and the examples (nonminimum phase and nonlinear objects) are selected to validate the performance of the BMPC. The simulation results show that with the help of the presented BMPC algorithm, the closed loop control system demonstrates the abilities of anti-disturbance and robustness.