This study investigates the constrained fuzzy control design for the wheeled mobile robot through visual-inertial sensing. The visual-inertial-based localization system which is constructed from a binocular vision system and an inertial measurement unit (IMU) is used to measure the motion of the robot. The constrained fuzzy control law is designed for the Takagi-Sugeno (T-S) fuzzy model of the mobile robot. The constraint induced by the visual localization system is also considered in the control design. The designed fuzzy control law derived from the Lyapunov stability criterion. The experimental results demonstrate the effectiveness of the proposed constrained fuzzy control design for the wheeled mobile robot through visual-inertial sensing
Relation:
2016 4th IIAE International Conference on Intelligent Systems and Image Processing, pp. 347-354
