Abstract This paper presents a data-driven algorithm for tracking control of a linear discrete-time plant. No traditional mathematical model of the plant such as transfer function or state equation is employed. Instea...
详细信息
Abstract This paper presents a data-driven algorithm for tracking control of a linear discrete-time plant. No traditional mathematical model of the plant such as transfer function or state equation is employed. Instead, the plant dynamics is represented by an array whose elements are plant input-outputdata. Sensitivity of the array to input and output noise is introduced. Then, it is shown that, for an arbitrary reference signal, the tracking control input which minimizes the sensitivity can readily be computed by solving a linear matrix inequality which is composed of the array.
暂无评论