Abstract
SUMMARYThis paper deals with motion planning and control problems for a class of partially differentially flat systems. They possess a feature that the derivative of the fiber variable can be represented purely by the base variable and its derivatives. Based on this feature, a Beta function-based motion planning algorithm is proposed with less computational cost compared with the optimal control formulation while providing similar system performance. Then, an adaptive controller is constructed through a function approximation technique-based approach. Finally, the feasibility of the proposed motion planning and control algorithms is verified by simulations.
Publisher
Cambridge University Press (CUP)
Subject
Computer Science Applications,General Mathematics,Software,Control and Systems Engineering
Reference34 articles.
1. 20. Ramasamy, S. , Wu, G. and Sreenath, K. , “Dynamically Feasible Motion Planning Through Partial Differential Flatness,” Proceedings of Robotics: Science and Systems (2014) pp. 125–130.
2. The motion planning problem: Differential flatness and nilpotent approximation;Romero-Melendez;Cybern. Phys.,2012
3. Function Approximation Based Control for Non-Square Systems
4. Kinematic controllability for decoupled trajectory planning in underactuated mechanical systems
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