Title
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems.
Abstract
In this paper, a neural-dynamic optimization-based nonlinear model predictive control (NMPC) is developed for the multiple nonholonomic mobile robots formation. First, a model-based monocular vision method is developed to obtain the location information of the leader. Then, a separation-bearing-orientation scheme (SBOS) control strategy is proposed. During the formation motion, the leader robot is...
Year
DOI
Venue
2018
10.1109/TNNLS.2018.2818127
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Optimization,Robot kinematics,Mobile robots,Cameras,Predictive control,Robot vision systems
Control theory,Computer science,Model predictive control,Robot kinematics,Artificial intelligence,Quadratic programming,Robot,Nonholonomic system,Artificial neural network,Machine learning,Mobile robot,Trajectory
Journal
Volume
Issue
ISSN
29
12
2162-237X
Citations 
PageRank 
References 
12
0.52
16
Authors
6
Name
Order
Citations
PageRank
Zhijun Li1105156.61
Yuan Wang2869.67
yao chen3249.82
Fan Ke4231.82
Xiaoli Chu5128980.99
C L Philip Chen669834.35