A Lyapunov-based gain-updating law preserves initial tree connectivity in delay-free swarms and is robustified against time-varying delays while establishing input-to-state stability.
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Prediction error methods for linear polynomial models are configured for consistent identification of parameters and structure in diffusively coupled networks, solved via a multi-step least squares convex optimization algorithm.
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Connectivity-Preserving Swarm Teleoperation Over A Tree Network With Time-Varying Delays
A Lyapunov-based gain-updating law preserves initial tree connectivity in delay-free swarms and is robustified against time-varying delays while establishing input-to-state stability.
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Identification of diffusively coupled linear networks through structured polynomial models
Prediction error methods for linear polynomial models are configured for consistent identification of parameters and structure in diffusively coupled networks, solved via a multi-step least squares convex optimization algorithm.