Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning

Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning

Abstract Supervisory control theory (SCT) is widely used as safeguard mechanism with control of discrete event systems (DESs). In complex continuous systems, in order to avoid system’s behavior violating specifications, the supervised control problem of these systems is quite different. Continuous s...

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Bibliographic Details
Main Authors: Yingjun Liu, Fuchun Liu, Renwei Huang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Optimal control
Imitation learning
Deep reinforcement learning
Online Access:https://doi.org/10.1038/s41598-025-04417-2
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