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本文给出了用在数字计算机控制上的,允许约束控制变量与状态变量的一个最佳时间控制算法。通过线性规划技巧,利用过程的一个线性离散模型将最佳时间控制序列算出来。因为实时应用反馈控制是靠重新核算各抽样,期间的控制序列来实现的。另外,一个自适应控制的关键在于在线状态变量的估计和已给出系统的参数。为了能够将这个算法用于实时环境,强调了计算效率。还给出了对一个六阶多变量系统的算法应用。
This paper presents an optimal time control algorithm for digital control of a computer that allows constraining control variables and state variables. Using linear programming techniques, a linear discrete model of the process is used to calculate the optimal time control sequence. Because real-time application feedback control is achieved by recalculating the control sequences during each sample, period. In addition, the key to an adaptive control lies in the estimation of online state variables and the parameters of the given system. In order to be able to use this algorithm in a real-time environment, computational efficiency is emphasized. The application of the algorithm to a six-order multivariable system is also given.