Title :
System identification using chaos theory on ARM Cortex M3 processor development board
Author :
Thenge, Gajanan S. ; Mulla, Suhel S. ; Patki, A.B.
Author_Institution :
Dept. of Electron. Eng., Coll. of Eng., Pune, India
Abstract :
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.
Keywords :
chaos; control system analysis computing; identification; microprocessor chips; nonlinear control systems; ARM Cortex M3 processor development board; chaos theory; nonlinear system identification; system behavior; system identification; system output data; Chaos; Conferences; Economics; Flowcharts; Mathematical model; Software; System identification; ChaosTtheory; Lyapunov Exponent;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154811
