journal article·2024-06-21Open access

Compensation Observer-Based Adaptive Output Feedback Control for Multi-Agent Systems

Zhaoyuan Liu, Ye Liu

Applied Sciences· Volume 14· Issue 13

Abstract

This study presents a modified compensating observer control strategy for nonlinear multi-agent systems affected by unknown hysteresis signal loops. Compared to conventional high-gain observers, this approach introduces a novel compensation signal, effectively reducing the tracking error of traditional observers. Then, by utilizing a backstepping method, an adaptive output feedback controller is designed, such that the tracking error converges to the small neighborhood around the origin. Simulation experiments with and without the compensation term demonstrate that this control strategy can effectively reduce error, but it increases input chattering to some extent.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Adaptive Control of Nonlinear Systems · Advanced Control Systems Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 261201, China

Funding

National Natural Science Foundation of China

References (29)

Show source-provided references
1. Autonomous Agents and Multi-Agent Systems Applied in Healthcare10.1016/j.artmed.2019.02.007 ↗
2. Distributed ESO Based Cooperative Tracking Control for High-Order Nonlinear Multiagent Systems with Lumped Disturbance and Application in Multi Flight Simulators Systems10.1016/j.isatra.2018.01.020 ↗
3. Special Issue on “Distributed Coordination Control for Multi-Agent Systems in Engineering Applications”10.1016/j.isatra.2017.10.008 ↗
4. Stability of Evolving Multiagent Systems10.1109/TSMCB.2011.2110642 ↗
5. Global Decentralized Output Feedback Control for Interconnected Time Delay Systems with Saturated PI Hysteresis10.1016/j.jfranklin.2020.02.059 ↗
6. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications10.1109/TCYB.2020.2977374 ↗
7. Prescribed Performance Distributed Consensus Control for Nonlinear Multi-Agent Systems with Unknown Dead-Zone Input10.1080/00207179.2017.1305510 ↗
8. Multi-instant observer design of discrete-time fuzzy systems via an enhanced gain-scheduling mechanism10.1109/TCYB.2021.3139068 ↗
9. Distributed adaptive output feedback leader-following consensus control for nonlinear multiagent systems10.1109/TSMC.2018.2849740 ↗
10. Composite learning enhanced neural control for robot manipulator with output error constraints10.1109/TII.2019.2957768 ↗
11. Dynamic Gain Reduced-Order Observer-Based Global Adaptive Neural-Network Tracking Control for Nonlinear Time-Delay Systems10.1109/TCYB.2022.3178385 ↗
12. Adaptive impedance control of human–robot cooperation using reinforcement learning10.1109/TIE.2017.2694391 ↗
13. Adaptive finite-time consensus tracking for nonstrict feedback nonlinear multi-agent systems with unknown control directions10.1109/ACCESS.2019.2949071 ↗
14. Adaptive dynamic surface asymptotic tracking for a class of uncertain nonlinear systems10.1002/rnc.3947 ↗
15. Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints10.1016/j.automatica.2015.10.034 ↗
16. Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems10.1016/j.automatica.2016.10.011 ↗
17. Global adaptive output feedback tracking for a class of non-linear systems with unknown backlash-like hysteresis10.1049/iet-cta.2013.0808 ↗
18. Decentralised adaptive output feedback control for interconnected nonlinear systems preceded by unknown hysteresis10.1080/00207179.2015.1013990 ↗
19. Schwartz, M., Krebs, S., and Hohmann, S. (2021). Guaranteed State Estimation Using a Bundle of Interval Observers with Adaptive Gains Applied to the Induction Machine. Sensors, 21.10.3390/s21082584 ↗
20. Robust Adaptive Distributed Dynamic Surface Consensus Tracking Control for Nonlinear Multi-Agent Systems with Dynamic Uncertainties10.1016/j.jfranklin.2016.08.009 ↗
21. Adaptive control of plants with unknown hystereses10.1109/9.341778 ↗
22. Observer-based adaptive neural networks control for large-scale interconnected systems with nonconstant control gains10.1109/TNNLS.2020.2985417 ↗
23. Robust Adaptive Neural Control for Pure-Feedback Stochastic Nonlinear Systems with Prandtl–Ishlinskii Hysteresis10.1016/j.neucom.2018.04.023 ↗
24. Ye, W., Aghili, F., Wu, J., and Su, C.-Y. (August, January 30). Robust Adaptive Control of Uncertain Systems Preceded with Unknown Hysteresis Actuators. Proceedings of the 2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE), Qingdao, China.10.1109/ICCSSE52761.2021.9545099 ↗
25. Observer-based adaptive fuzzy tracking control using integral barrier Lyapunov functionals for a nonlinear system with full state constraints10.1109/JAS.2021.1003877 ↗
26. Model Reference Adaptive Control Based on KP Model for Magnetically Controlled Shape Memory Alloy Actuators
27. Novel Dynamic Surface Funnel Control for Input Delay Nonlinear Systems
28. Performance enhanced model reference adaptive control through switching non-quadratic Lyapunov functions10.1016/j.sysconle.2014.12.001 ↗
29. Model reference adaptive control with L 1+ α tracking10.1080/00207179608921661 ↗