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Finite-Time Adaptive Consensus Tracking Control Based on Barrier Function and Cascaded High-Gain Observer
oleh: Xinyu Zhang, Zheng H. Zhu, Fei Liao, Hui Gao, Weihao Li, Gun Li
| Format: | Article |
|---|---|
| Diterbitkan: | MDPI AG 2023-03-01 |
Deskripsi
This paper studies the consensus tracking control for a class of uncertain high-order nonlinear multi-agent systems under an undirected leader-following architecture. A novel distributed finite-time adaptive control framework is proposed based on the barrier function. The distributed cascaded high-gain observers are introduced to solve the problem of robust consensus tracking with unmeasured intermediate states in multi-agent systems based on the proposed control framework. The proposed control schemes guarantee the finite-time consensus of multi-agent systems, which is proven by the finite-time Lyapunov stability and singular perturbation theory. In conclusion, numerical simulations verify the proposed control protocols’ effectiveness, and their performance advantages are shown by comparing them with another existing method.