Distributed Adaptive Leader-following control for multi-agent multi-degree manipulators with Finite-Time guarantees

• Main Authors: Mahyuddin, Muhammad Nasiruddin, Herrmann, Guido, Lewis, Frank L.
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• 在線閱讀: http://eprints.usm.my/30477/1/IEEE_CONFERENCE.pdf; http://eprints.usm.my/30477/

A robust distributed adaptive leader-following control for multi-degree-of-freedom (multi-DOF) robot manipulator-type agents is proposed to guarantee finite-time convergence for leader-following tracking and parameter estimation via agent-based estimation and control algorithms. The dynamics of each manipulator agent system of n degrees including the leader agent are assumed unknown. For a specific leader-following network Laplacian, the agents’ position, velocity and some switched control information can be fed back to the communication network. In contrast to the current multi-agent literature for robotic manipulators, the proposed approach does not require a priori information of the leader’s joint velocity and acceleration to be available to all agents due to the use of agent-based robust adaptive control elements. Due to the multi-DOF character of each agent, matrix theoretical results related to M-matrix theory used for multi-agent systems needs to be extended to the multi-degree context in contrast to recent scalar double integrator results. A simulation example of two-degree of freedom manipulators exemplifies the effectiveness of the approach.