Abstract
This paper investigates the adaptive tracking control problem for a class of nonlinear multi-agent systems with unknown measurement sensitivity using a simplified backstepping approach. By introducing Nussbaum gain, a new approach is proposed that effectively relaxes the restrictive condition that the unknown measurement sensitivity be within a particular range. A simplified backstepping approach is then presented to alleviate the structural complexity and high computational costs. It is proven that the tracking error converges to a small neighborhood of the origin and that all of the signals are bounded. Finally, simulation analysis is conducted to verify the effectiveness of the proposed control strategy.
Original language | English |
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Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
DOIs | |
Publication status | Accepted/In press - 2022 |
Keywords
- Adaptive control
- Backstepping
- Current measurement
- Fuzzy control
- Gain measurement
- Multi-agent systems
- Protocols
- Sensitivity
- Simplified backstepping approach.
- Unknown measurement sensitivity
ASJC Scopus subject areas
- Electrical and Electronic Engineering