TY - CHAP
T1 - Fractional linear shift-invariant systems
AU - Ortigueira, Manuel Duarte
PY - 2011
Y1 - 2011
N2 - The applications of Fractional Calculus to physics and engineering are not recent: the beginning of the application to viscosity dates back to the thirties in the past century. During the last 20 years the application domains of fractional calculus increased significantly: seismic analysis (Koh and Kelly, 1990), dynamics of motor and premotor neurones of the oculomotor systems, viscous damping, electric fractal networks, fractional order sinusoidal oscillators and, more recently, control, and robotics. One of the areas where such can be verified is the Biomedical Engineering. The now classic fractional Brownian motion (fBm) modeling is an application of the fractional calculus. We define a fractional noise that is obtained through a fractional derivative of white noise. The fBm is an integral of the fractional noise.
AB - The applications of Fractional Calculus to physics and engineering are not recent: the beginning of the application to viscosity dates back to the thirties in the past century. During the last 20 years the application domains of fractional calculus increased significantly: seismic analysis (Koh and Kelly, 1990), dynamics of motor and premotor neurones of the oculomotor systems, viscous damping, electric fractal networks, fractional order sinusoidal oscillators and, more recently, control, and robotics. One of the areas where such can be verified is the Biomedical Engineering. The now classic fractional Brownian motion (fBm) modeling is an application of the fractional calculus. We define a fractional noise that is obtained through a fractional derivative of white noise. The fBm is an integral of the fractional noise.
UR - http://www.scopus.com/inward/record.url?scp=79959702763&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-0747-4_4
DO - 10.1007/978-94-007-0747-4_4
M3 - Chapter
AN - SCOPUS:79959702763
SN - 9789400707467
T3 - Lecture Notes in Electrical Engineering
SP - 71
EP - 99
BT - Fractional Calculus for Scientists and Engineers
ER -