Article Abstract

	Title:	Online context switching for real time control applications using reconfigurable fuzzy inference chip
	Author:	Qi Cao, Meng Hiot Lim, Keck Voon Ling, Ju Hui Li, Ching Wern Chan
	Address:	School of Electrical and Electronic Engineering, Block S1, Nanyang Technological University, Nanyang Avenue, 639798, Singapore. ' School of Electrical and Electronic Engineering, Block S1, Nanyang Technological University, Nanyang Avenue, 639798, Singapore. ' School of Electrical and Electronic Engineering, Block S1, Nanyang Technological University, Nanyang Avenue, 639798, Singapore. ' School of Electrical and Electronic Engineering, Block S1, Nanyang Technological University, Nanyang Avenue, 639798, Singapore. ' School of Electrical and Electronic Engineering, Block S1, Nanyang Technological University, Nanyang Avenue, 639798, Singapore
	Journal:	International Journal of Computer Applications in Technology 2006 - Vol. 27, No.2/3  pp. 153 - 165
	Abstract:	The reconfigurable fuzzy inference chip (RFIC) is a novel concept of a hardware fuzzy inference processor. It supports online realtime context switching. Such a capability is significant, particularly for situations where the application scenarios are expected to change dynamically. Furthermore, the RFIC can be extended to support hardware that reconfigures itself, a notion termed as evolvable fuzzy hardware. We outline in this paper a prototype implementation of the RFIC and demonstrate its capability in handling online realtime context switching for the control of a rotary inverted pendulum. Our results confirm the applicability of the RFIC in supporting the implementation of intrinsic evolvable fuzzy hardware.
	Keywords:	reconfigurable fuzzy inference chip; RFIC; online context switching; intrinsic evolution; evolvable fuzzy hardware; RFIC; real time control; fuzzy control; fuzzy logic; hardware fuzzy inference processor; rotary inverted pendulum; pendulum control.
	DOI:	10.1504/IJCAT.2006.011141
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