Approximation‐free design for distributed consensus tracking of networked uncertain non‐linear multi‐agent systems with heterogenous high powers
Sung Jin Yoo · IET Control Theory and Applications · 2020
This study investigates a distributed approximation‐free design problem for guaranteed consensus tracking quality of networked uncertain heterogenous power‐chained multi‐agent systems with completely unknown non‐linearities. Compared with the existing studies in the presence of power‐chained state variables, the main contribution of this study is to provide a distributed low‐complexity consensus tracker design strategy using only the relative output information among agents, without the use of adaptive neural or fuzzy function approximators for estimating unknown non‐linear functions. A novel recursive design strategy independent of the feedback domination technique is established to deal with power‐chained state variables under directed networks. Using the Lyapunov stability theorem, it is shown that the preselected performance of the consensus tracking error is ensured.