High‐order leader‐follower tracking control under limited information availability

Limited information availability represents a fundamental challenge for control of multi-agent systems, since an agent often lacks sensing capabilities to measure certain states its own and can exchange data only with neighbors. The becomes even greater when agents are governed by high-order dynamics. present work is motivated conduct design linear nonlinear leader-follower systems in context where the first state measured. To address this open challenge, we develop novel distributed observers enable followers reconstruct unmeasured or unknown quantities about themselves leader on such basis, build observer-based tracking approaches. We analyze convergence properties proposed approaches validate their performance through simulation.