Adaptive control for asynchronously switched fractional-order multi-agent systems

In this paper, we discuss the adaptive controller design for a class of fractional-order (FO) multi-agent systems (MAS). All the agents are described by FO pure-feedback nonlinear systems. This is more general than the existing works, which only considered strict-feedback or integer-order nonlinear systems. Meanwhile, asynchronous switching are considered in FO MAS, meaning the agents have heterogeneous switching dynamics. A new neural network based adaptive controller is proposed for the considered FO MAS, which can make the consensus tracking error converge to a small neighborhood of origin. Simulation verifies the results obtained.