A new form of discrete-time state model for linear dynamical systems is derived. Unlike conventional discrete-time models, this new model accommodates cases where the values of the system inputs (controls u(t) and/or disturbances w(t)) may vary continuously with time (in an uncertain manner) over each sample-interval kT/spl les/t(k+1)T. This new discrete-time model has important applications in system parameter identification, adaptive control, and digital control.
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机译：推导了一种用于线性动力系统的新形式的线性动力系统模型。与传统的离散时间模型不同，该新模型容纳系统输入的值（控制U（T）和/或干扰W（T））的情况可能随着每个样本间隔的时间（以不确定的方式）连续变化kt / spl les / t>（k + 1）t。这种新的离散时间模型在系统参数识别，自适应控制和数字控制中具有重要应用。
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