Abstract
This article addresses the tracking control issue of networked nonlinear MIMO multi-agent systems under random delay. Since the model of nonlinear system is difficult to be obtained accurately, a data-driven control strategy called model-free adaptive control method is introduced, which only needs the information of input and output data. Based on the above approach and the networked delay compensation technique, a data-based delay compensation tracking control scheme is proposed. And the sufficient condition for the asymptotic stability is given. The proposed method can achieve a good tracking performance, and actively compensate the networked-induced delay. The feasibility of the proposed method is validated through numerical simulations.
Original language | English |
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Pages (from-to) | 62-70 |
Number of pages | 9 |
Journal | Neurocomputing |
Volume | 425 |
DOIs | |
Publication status | Published - 15 Feb 2021 |
Keywords
- Distributed data-driven control
- Networked nonlinear MIMO multi-agent system
- Random delay
- Tracking control