System Identification shows the student reader how to approach the system identification
problem in a systematic fashion. The process is divided into three basic steps: experimental …

Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/
approximation of a system with a finite length expansion. By flexibly tuning the basis …

This paper considers black-and grey-box continuous-time transfer function estimation from
frequency response measurements. The first contribution is a bilinear mapping of the …

Adaptive Fourier Series - A Variation of Greedy Algorithm ∗ Page 1 Adaptive Fourier Series - A
Variation of Greedy Algorithm ∗ Tao Qian† and Yan-Bo Wang‡ April 2, 2010 Abstract. We …

A new approach for robust fixed-order H∞ controller design by convex optimization is
proposed. Linear time-invariant single-input single-output systems represented by …

Vector Fitting is widely accepted as a robust macromodeling tool for approximating
frequency domain responses of complex physical structures. In this paper, the Orthonormal …

Vector fitting is a popular method of constructing rational approximants designed to fit given
frequency response measurements. The original method, which we refer to as VF, is based …

The present paper is a continuing work on the recently established adaptive Fourier
decomposition (AFD) mainly stressing on the algorithm aspect, including algorithm analysis …

We propose a function decomposition model, called intrinsic mono‐component
decomposition (IMD). It is a continuation of the recent study on adaptive decomposition of …

Fractional differentiation systems are characterized by the presence of non-exponential
aperiodic multimodes. Although rational orthogonal bases can be used to model any L2 …