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Exact(14)
Therefore, mean square containment control problem for system (29) can be achieved.
The mean square containment control of system (1) can solve the containment control problem in the mean square sense.
By using graph theory and the tools of stochastic analysis, sufficient conditions for mean square containment control are derived.
Under Markov switching topologies and the containment algorithm (17), system (15) can solve the mean square containment control problem.
In addition, mean square containment control problems of the first-order and second-order multi-agent systems with communication noises was investigated in [12].
By using the graph theory and theory of stochastic analysis, sufficient conditions of mean square containment control for multi-agent systems are derived.
Similar(46)
Under the containment algorithm (3), system (1) can solve the containment control problem in the mean square sense.
The containment tracking results are obtained in the asymptotic unbiased mean square sense and with bounded error in mean square sense for general linear case and nonlinear case respectively.
Containment control problem of system (1) can be converted to the mean square consensus of the systems (13).
minimum mean square estimate.
root mean square deviation.
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