LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control
Author:
Affiliation:
1. Ben-Gurion University of the Negev,School of ECE,Be‘er Sheva,Israel
2. ETH,D-ITET,Zurich,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095181.pdf?arnumber=10095181
Reference23 articles.
1. Deep Learning-based Luenberger observer design for discrete-time nonlinear systems
2. Controlling Nonlinear Dynamical Systems with Linear Quadratic Regulator-based Policy Networks in Koopman space
3. Duality between the discrete-time Kalman filter and LQ control law
4. Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
5. Deep Learning-Based Inverse Modeling for Predictive Control
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