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Fixed time output feedback containment for uncertain nonlinear multiagent systems with switching communication
Tian Biao1, Shao Xingling1, Yang Wei1
1Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China; National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
This study introduces a fixed-time containment protocol for uncertain nonlinear multiagent systems (MASs) with unknown leader dynamics and switching communication. The method ensures followers reach leaders in fixed time, regardless of initial conditions, using an observer for precise state estimation.
Area of Science:
- Control Theory
- Systems Engineering
- Robotics
Background:
- Multiagent systems (MASs) face challenges with unknown leader dynamics and uncertain communication links.
- Achieving containment control under switching topologies and external disturbances requires robust observer designs.
- Existing methods often necessitate full state information or known communication transition rates.
Purpose of the Study:
- To develop a fixed-time containment protocol for uncertain nonlinear MASs with unknown leader dynamics.
- To address challenges posed by switching communication topologies and external uncertainties.
- To design an output feedback control strategy that ensures fast and precise convergence.
Main Methods:
- A Markov jumping process with partially known transition probability models the switching communication topologies.
- A fixed-time extended state observer (FTESO) estimates states using only relative position information, rejecting uncertainties.
- A fixed-time output feedback containment protocol is designed using the FTESO for follower agents.
Main Results:
- The proposed protocol achieves fixed-time containment consensus with reduced communication burden and enhanced robustness.
- The FTESO provides uniform fast and precise estimation capabilities without requiring local velocity states.
- The fixed-time stabilization of the cascaded system is proven using Lyapunov-based methods and bi-limit homogeneity.
Conclusions:
- The developed fixed-time containment protocol effectively guides follower agents into the leader set within a predictable time frame.
- The use of a Markov jumping process and FTESO enhances the system's adaptability to uncertain environments and communication dynamics.
- Simulation results validate the protocol's feasibility and superior performance in achieving robust containment control.
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