A bionic neural network for fish-robot locomotion
Source abstract
Abstract
A bionic neural network for fish-robot locomotion is presented. The bionic neural network inspired from fish neural network consists of one high level controller and one chain of central pattern generators (CPGs). Each CPG contains a nonlinear neural Zhang oscillator which shows properties similar to sine-cosine model. Simulation results show that the bionic neural network presents a good performance in controlling the fish-robot to execute various motions such as startup, stop, forward swimming, backward swimming, turn right and turn left.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Biomimetic flight and propulsion mechanisms · Adaptive Control of Nonlinear Systems · Water Quality Monitoring Technologies
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