New epoch-based direct MRAC algorithm for adaptive discrete-time LQR achieves high-probability regret bounds without requiring an initial stabilizing controller or exploration.
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Unified JDCC framework derives delay and variance metrics, Pareto trade-off boundary, and outage probabilities under MRT and ZF beamforming.
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Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
New epoch-based direct MRAC algorithm for adaptive discrete-time LQR achieves high-probability regret bounds without requiring an initial stabilizing controller or exploration.
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Modeling and Analysis for Joint Design of Communication and Control
Unified JDCC framework derives delay and variance metrics, Pareto trade-off boundary, and outage probabilities under MRT and ZF beamforming.