Measuring information flow in nonlinear systems--a modeling approach in the state space.
Directional information flow between coupled nonlinear systems is of practical interest in many areas like bioengineering, chemistry, physics and electrical engineering. Due to the high complexity and nonlinearity of the coupled chaotic systems, linear modeling approaches may fail to capture the proper dynamics and thus the proper directional information flow. This necessitates novel approaches to analyze signals derived from such systems. This paper proposes a novel approach for detecting such directional information flows between the subsystems involved. The dependability of the method is illustrated using coupled chaotic oscillators in various coupling configurations.
Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287, USA.
Balaji
B
Veeramani
Awadhesh
A
Prasad
K
K
Narayanan
A
A
Spanias
L D
LD
Iasemidis
D015984:Causality; D003198:Computer Simulation; D005246:Feedback; D008954:Models, Biological; D017711:Nonlinear Dynamics; D013269:Stochastic Processes; D013598:Systems Theory