JOURNAL ARTICLE

Distributed Coordinated Tracking Control for Multiple Uncertain Euler–Lagrange Systems With Time-Varying Communication Delays

Yanchao SunDingran DongHongde QinNing WangXiaojia Li

Year: 2019 Journal:   IEEE Access Vol: 7 Pages: 12598-12609   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, under-directed topology, distributed coordinated tracking control schemes are proposed for multiple Euler-Lagrange systems with time-varying communication delays, nonlinear uncertainties, and external disturbances. Concerning with different leader velocities, both constant leader velocity case and time-varying leader velocity case are addressed by designing two different distributed observers. Combining with the proposed distributed leader velocity observers, two coordinated tracking control schemes are developed by the effort of neural network approximation and sliding mode technique, which can compensate the nonlinearities and uncertainties. For the first case, tracking errors are rigorously proved to be globally asymptotically converged by using Lyapunov-Krasovskii method. To further eliminate chattering caused by the discontinuous sign function, the saturation function is used for the second case, and the proposed control algorithm ensures the same convergence of tracking errors via Lyapunov analysis. Finally, the effectiveness of the proposed distributed tracking control schemes is verified by the numerical examples.

Keywords:
Control theory (sociology) Sign function Computer science Lyapunov function Convergence (economics) Nonlinear system Tracking (education) Sliding mode control Artificial neural network Mathematics Control (management) Artificial intelligence

Metrics

17
Cited By
2.52
FWCI (Field Weighted Citation Impact)
58
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
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