Underwater robot intelligent control based on multilayer neural network

Abstract

The paper is devoted to the design of the intelligent neural 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. Simulation results of control system for underwater robot dynamics with parameter and partial structural uncertainties have confirmed the effectiveness of approach developed.