System identification using chaos theory on ARM Cortex M3 processor development board

Non-linear system identification is gaining much importance in present days. The paper introduces a system identification technique based on chaos theory. We observe system output data over a specified period of time and characterize the system behavior (stable, unstable or chaotic). The algorithm is implemented on Cortex M3 development board.