A. G. Rigas

发表

A Monte Carlo Method Used for the Identification of the Muscle Spindle

Vassiliki K. Kotti, A. G. Rigas, 2008 .

Risk Assessment of Complex Evolving Systems Involving Multiple Inputs

A. G. Rigas, V. G. Vassiliadis, A. Rigas, 2015 .

Identification of a neuroelectric system involving a single input and a single output

A. G. Rigas, P. Liatsis, 2000, Signal Process..

An introduction to the application of system identification techniques to elements of the neuromuscular system

David J. Murray-Smith, A. G. Rigas, J. R. Rosenberg, 1982 .

PHASE RECOVERY OF A STOCHASTIC POINT PROCESS SYSTEM

A. G. Rigas, V. G. Vassiliadis, 2002 .

Muscle spindle modelling and identification

David J. Murray-Smith, A. G. Rigas, J. R. Rosenberg, 1987 .

Time series analysis in chaotic diode resonator circuit

A. G. Rigas, M. P. Hanias, A. Rigas, 2006 .

Characteristics of ≥ 290 keV magnetosheath ions

A. G. Rigas, A. Rigas, I. Karanikola, 1999 .

Diagnosis of Asthma Severity Using Artificial Neural Networks

A. G. Rigas, Emmanouil Paraskakis, E. Chatzimichail, 2010 .

Geometrical characteristics of magnetospheric energetic ion time series: evidence for low dimensional chaos

Emmanuel T. Sarris, A. G. Rigas, D. V. Sarafopoulos, 2003 .

Comments and new results about the magnetospheric chaos hypothesis

Emmanuel T. Sarris, A. G. Rigas, D. Diamantidis, 1999 .

Evidence for chaotic dynamics in the Jovian magnetosphere

Emmanuel T. Sarris, A. G. Rigas, G. P. Pavlos, 2004 .