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Open access Sep 2026

Reinforcement-Learning Robust Tracking Control of Discrete-Time Systems with Diagonal Scaling

This paper addresses a robust tracking problem for linear discrete-time systems by proposing a reinforcement learning (RL) control method based on a diagonal-scaling strategy, offering a solution tailored to the demands of enhanced reliability. To overcome a common limitation in policy-iteration-based RL design, namely...

Kan-Yang Jiang, Zheng Gao, Ye Zeng et al. · 0 citations

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