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Probabilistic Sufficient Conditions for Prediction-Based Stabilization of Linear Systems With Random Input Delay

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This letter focuses on the prediction-based stabilization of a linear system subject to a random input delay. Modeling the delay as a finite-state Markov process, it proves that a constant… Click to show full abstract

This letter focuses on the prediction-based stabilization of a linear system subject to a random input delay. Modeling the delay as a finite-state Markov process, it proves that a constant time-horizon prediction enables robust compensation of the delay, provided the horizon prediction is sufficiently close to the delay values in average. Simulation results emphasize the practical relevance of this condition.

Keywords: stabilization linear; based stabilization; prediction based; random input; prediction; delay

Journal Title: IEEE Control Systems Letters
Year Published: 2022

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