Stochastic predictor-based leader-following control with input and communication delays
Filippo Cacace, Massimiliano d’Angelo, Lorenzo Ricciardi Celsi · International Journal of Control · 2022
We consider the leader-following control problem on connected directed graphs for stochastic linear agents in the presence of communications and actuator delays. We propose to use a distributed protocol for detecting the distance of agents from the leader and we show that by suitably using this information it is possible to solve efficiently the leader-following control problem by means of predictors, thus recovering results for the single-agent case. The proposed predictor and controller are easy to design and the delay bound that guarantees stability can be computed from closed-form expressions without resorting to LMIs.