Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Signal Processing: Model Based Approach
Signal Processing: Model Based Approach
Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
IEEE Transactions on Fuzzy Systems
Development of a systematic methodology of fuzzy logic modeling
IEEE Transactions on Fuzzy Systems
VLSI hardware architecture for complex fuzzy systems
IEEE Transactions on Fuzzy Systems
A multi-context processor for real-time concurrent tasks fuzzy reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Interacting Multiple Model (IMM) algorithm is proved to be useful in tracking maneuvering targets. The tracking accuracy of the IMM can be further improved by modifying IMM to change its transition probabilities adaptively. A fuzzy logic controller (FLC) is designed to change the transition probabilities of IMM adaptively with innovation and rate of innovation as input parameters. The FLC selects the suitable transition probabilities of the IMM to minimize the error in tracking. A VLSI level FLC architecture for this purpose is designed and results are obtained from logic synthesis. Techniques for simplifying the process of fuzzification and defuzzification and its subsequent effect of reducing system and computational complexity are discussed.