首页> 外文会议>Proceedings of the 13th world congress >OPTIMAL LQG AND GPC CONTROLLERS: COVARIANCE CHARACTERIZATION, STRUCTURED MODELS AND CHANDRASEKHAR EQUATIONS
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OPTIMAL LQG AND GPC CONTROLLERS: COVARIANCE CHARACTERIZATION, STRUCTURED MODELS AND CHANDRASEKHAR EQUATIONS

机译:最佳LQG和GPC控制器:协方差特征,结构模型和CHANDRASEKHAR方程

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摘要

A unified approach to the MV, LQG and GPC control problems, based on structured state-space models, is presented. Attention is paid to the computational efficiency of the methods proposed. Chandrasekhar-type equations for receding-horizon control problems are presented and the Box-Jenkins model is utilized to increase versatility and to improve computational efficiency. An integral action of the controller is attained without resorting to nonrealistic nonstationary disturbance models. Formulae for calculating the evolution of output and control variances are also derived.
机译:提出了一种基于结构化状态空间模型的MV,LQG和GPC控制问题的统一方法。注意所提出方法的计算效率。提出了用于后视控制问题的Chandrasekhar型方程,并利用Box-Jenkins模型增加了通用性并提高了计算效率。在不求助于非现实的非平稳干扰模型的情况下,实现了控制器的整体作用。还推导了用于计算输出和控制方差的演变的公式。

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