Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints
Author:
Affiliation:
1. University of Melbourne,Department of Electrical and Electronic Engineering,Parkville,VIC,Australia,3010
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383870.pdf?arnumber=10383870
Reference18 articles.
1. Thompson sampling achieves regret in linear quadratic control;Kargin,2022
2. Naive exploration is optimal for online lqr;Simchowitz,2020
3. Safe adaptive learning-based control for constrained linear quadratic regulators with regret guarantees;Li;arXiv preprint,2021
4. Stochastic Adaptive Stabilization via Extremum Seeking in Case of Unknown Control Directions
5. Extremum seeking-based perfect adaptive tracking of non-PE references despite nonvanishing variance of perturbation
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