离散时变系统的最优降阶估计器设计

IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI:10.1109/ICSYSE.1991.161154

R. Paroda, A. Kumar

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引用次数: 2

摘要

提出了一种直接从全阶系统设计最优降阶估计量(ROE)的方法。所使用的代价函数是二次的，具有正定的权重。该方法基于相关哈密顿量的最小化来获得最优ROE参数。对Hessian矩阵的检查揭示了ROE参数达到最优的额外条件

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Optimal reduced-order estimator design for discrete, time-varying systems

An approach to design an optimal reduced-order estimator (ROE) directly from a full-order system is proposed. The cost functional used is quadratic with positive definite weighting. The approach is based on the minimization of the associated Hamiltonian to obtain optimal ROE parameters. Examination of the Hessian matrix reveals extra conditions for ROE parameters to be optimal.<>

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IEEE 1991 International Conference on Systems Engineering

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