✦ LIBER ✦

Non-parametric linear time-invariant system identification by discrete wavelet transforms

✍ Scribed by R.W.-P. Luk; R.I. Damper

Book ID: 108114576
Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 304 KB
Volume: 16
Category: Article
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2005.11.004

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Non-linear discrete time systems analysi

Non-linear discrete time systems analysis by multiple time perturbation techniques

✍ R. Subramanian; A. Krishnan 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 726 KB

IDENTIFICATION OF NON-LINEAR SYSTEMS USI

IDENTIFICATION OF NON-LINEAR SYSTEMS USING MULTI-SCALE RIDGES AND SKELETONS OF THE WAVELET TRANSFORM

✍ W.J. Staszewski 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 353 KB

Matching pursuit by undecimated discrete

Matching pursuit by undecimated discrete wavelet transform for non-stationary time series of arbitrary length

✍ A. T. Walden; A. Contreras Cristan 📂 Article 📅 1998 🏛 Springer US 🌐 English ⚖ 260 KB

Explicit/multi-parametric model predicti

Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming

✍ K.I. Kouramas; N.P. Faísca; C. Panos; E.N. Pistikopoulos 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 537 KB

Optimal Input-Output Stabilization of In

Optimal Input-Output Stabilization of Infinite-Dimensional Discrete Time-Invariant Linear Systems by Output Injection

✍ Opmeer, Mark R.; Staffans, Olof J. 📂 Article 📅 2010 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 321 KB

ANALYTICAL STUDY OF VIBRATING SYSTEMS WI

ANALYTICAL STUDY OF VIBRATING SYSTEMS WITH STRONG NON-LINEARITIES BY EMPLOYING SAW-TOOTH TIME TRANSFORMATIONS

✍ V.N. Pilipchuk 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 540 KB

A special saw-tooth temporal transformation technique is formulated. It is simple enough to allow analytic computation of strongly non-linear free and forced dynamic responses, but, at the same time, can be applied to the analysis of general classes of non-linear problems.