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ELIPS: Toward a Sensor Fusion Processor on a ChipThe paper presents the concept and initial tests from the hardware implementation of a low-power, high-speed reconfigurable sensor fusion processor. The Extended Logic Intelligent Processing System (ELIPS) processor is developed to seamlessly combine rule-based systems, fuzzy logic, and neural networks to achieve parallel fusion of sensor in compact low power VLSI. The first demonstration of the ELIPS concept targets interceptor functionality; other applications, mainly in robotics and autonomous systems are considered for the future. The main assumption behind ELIPS is that fuzzy, rule-based and neural forms of computation can serve as the main primitives of an "intelligent" processor. Thus, in the same way classic processors are designed to optimize the hardware implementation of a set of fundamental operations, ELIPS is developed as an efficient implementation of computational intelligence primitives, and relies on a set of fuzzy set, fuzzy inference and neural modules, built in programmable analog hardware. The hardware programmability allows the processor to reconfigure into different machines, taking the most efficient hardware implementation during each phase of information processing. Following software demonstrations on several interceptor data, three important ELIPS building blocks (a fuzzy set preprocessor, a rule-based fuzzy system and a neural network) have been fabricated in analog VLSI hardware and demonstrated microsecond-processing times.
Document ID
20000052457
Document Type
Other
Authors
Daud, Taher
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Stoica, Adrian
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Tyson, Thomas
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Li, Wei-te
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Fabunmi, James
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 1998
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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