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An Output-Feedback Control Approach to the $H_{\infty}$ Consensus Integrated with Transient Performance Improvement Problem. (arXiv:1810.06251v1 [math.OC])
来源于:arXiv
This paper considers the consensus performance improvement problem of
networked general linear agents subject to external disturbances over Markovian
randomly switching communication topologies. The consensus control laws can
only use its local output information. Firstly, a class of full-order
observer-based control protocols is proposed to solve this problem, which
depends solely on the relative outputs of neighbours. Then, to eliminate the
redundancy involved in the full-order observer, a class of reduced-order
observer-based control protocols is designed. Algorithms to construct both
protocols are presented, which guarantee that agents can reach consensus in the
asymptotic mean square sense when they are not perturbed by disturbances, and
that they have decent $H_{\infty}$ performance and transient performance when
the disturbances exist. At the end of this manuscript, numerical simulations
which apply both algorithms to four networked Raptor-90 helicopters are
performed to verify 查看全文>>