Optimal parameter identification for reduced-order discrete-time modeling of time-varying systems

R. Paroda, A. Kumar
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引用次数: 1

Abstract

A generalized approach for optimal model reduction of discrete systems is proposed. The performance measure is quadratic with positive-definite weighting. Minimizing the associated Hamiltonian with respect to the reduced-order model (ROM) parameters yields an optimal result. Assuming a bounded uniform realization of the full-order system, it is shown that the corresponding Hessian matrix is always positive definite provided the ROM is also uniform
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时变系统降阶离散建模的最优参数辨识
提出了离散系统最优模型约简的一种广义方法。性能指标是二次型的,具有正定的权重。最小化与降阶模型(ROM)参数相关的哈密顿量可以得到最优结果。在全阶系统有界一致实现的前提下,证明了在ROM也是一致的情况下,相应的Hessian矩阵总是正定的
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