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An Incremental Predictive Functional Control Based on Kautz Model

机译:基于Kautz模型的增量预测功能控制

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An incremental model was built using the orthogonal Kautz function base. An adaptive predictive functional control algorithm based on incremental Kautz model has been designed in this paper. An increment state space equation is used to model the course. The recursive least-squares (RLS) is used to identify the parameters online. The simulations verified the given strategy. It is shown that the value of over output is restrained, and the control quality is increased with the designed method.
机译:使用正交Kautz函数库构建增量模型。本文设计了一种基于增量KAUTZ模型的自适应预测功能控制算法。增量状态空间方程用于建模课程。递归最小二乘(RLS)用于在线识别参数。模拟验证了给定的策略。结果表明,抑制了过输出的值,并且通过设计的方法增加了控制质量。

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