Learning-Based Synthesis of Robust Linear Time-Invariant Controllers

Learning-Based Synthesis of Robust Linear Time-Invariant Controllers

Recent advances in learning for control allow to synthesize controllers from learned system dynamics and maintain robust stability guarantees. However, no approach is well-suited for training robustly-stabilizing linear time-invariant (LTI) controllers using arbitrary learned models of the dynamics....

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Bibliographic Details
Main Authors: Beaudoin, M. (Author), Boulet, B. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Artificial intelligence
Closed-loop performance
Control framework
Controller parameter
Controllers
Data models
Gradient-descent
Learning systems
Linear control systems
Linear systems
Linear time invariant controller
Machine learning
robust control
Robust control
robust stability
Robust stability
Safety
safety guarantee
Safety guarantees
Stability criteria
Stability criterions
System dynamics
System stability
System theory
Uncertainty
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