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- W2368178712 abstract "Based on the control method of ample-robots’ pace in bionics principles, this paper discusses the main idea that Central Pattern Generation (CPG) is used to implement the hexapod's locomotion control with Cellular Neural Networks (CNNs) as its base, and for the shortages of the main idea now available, put forward a new CPG model based on Fuzzy Neural Networks (FNN) and CNN, and presents a numerical discriminant technique for the stability of autowaves in CNN. Drawing of compensation based on FNN and Genetic Algorithms (GA) heightens the system anti-jamming capability. The simulation experiment shows that this control strategy has an ideal effect, is simple in priniciple, and is easy to realize ." @default.
- W2368178712 created "2016-06-24" @default.
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- W2368178712 date "2005-01-01" @default.
- W2368178712 modified "2023-09-24" @default.
- W2368178712 title "Research in Locomotion Control Based on Central Pattern Generation" @default.
- W2368178712 hasPublicationYear "2005" @default.
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