  The guaranteed-performance consensualization for high-order linear and
nonlinear multiagent systems with switching topologies is respectively realized
in a completely distributed manner in the sense that consensus design criteria
are independent of interaction topologies and switching motions. The current
paper firstly proposes an adaptive consensus protocol with
guaranteed-performance constraints and switching topologies, where interaction
weights among neighboring agents are adaptively adjusted and state errors among
all agents can be regulated. Then, a new translation-adaptive strategy is shown
to realize completely distributed guaranteed-performance consensus control and
an adaptive guaranteed-performance consensualization criterion is given on the
basis of the Riccati inequality. Furthermore, an approach to regulate the
consensus control gain and the guaranteed-performance cost is proposed in terms
of linear matrix inequalities. Moreover, main conclusions for linear multiagent
systems are extended to Lipschitz nonlinear cases. Finally, two numerical
examples are provided to demonstrate theoretical results.
