UNDERWATER ROBOT INTELLIGENT CONTROL BASED ON MULTILAYER NEURAL NETWORK

the paper is devoted to the design of the intelligent neuron network based control systems for underwater robot. New algorithm for intelligent controller learning is derived with usage of speed gradient method. Proposed systems provide the robot dynamics close to reference one. Results of simulation have confirmed the effectiveness of approach developed.