Prescribed Performance Cooperative Control for Multiagent Systems With Input Quantization
By Hongjing Liang, Yanhui Zhang, Tingwen Huang, Hui Ma. IEEE Transactions on Cybernetics, 2020
295 citations recorded by the source corpus.
This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in the prescribed performance. Different from the finite-time control, a speed function is designed to realize that the tracking errors converge to a prescribed compact set in a given finite time for multiagent systems. Meanwhile, we consider the problem of unknown gains and input quantization, which can be addressed by using a lemma and Nussbaum function in cooperative control. Moreover, the fuzzy logic systems are proposed to approximate the nonlinear function defined on a compact set. A distributed controller and adaptive laws are constructed based on the Lyapunov stability theory and backstepping method. Finally, the effectiveness of the proposed approach is illustrated by some numerical simulation results.
View Paper: https://www.semanticscholar.org/paper/466b89acf4d08f1125ebcd454e25ee40b65b2de2
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Citations in the corpus
- Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks (2019, methodology): “Toward this problem, one effective consensus con-trol approach, that is, distributed approaches, is applied to design controllers for MASs [9], [10].”