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cs.RO2023
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator
Ran Wang, Raman Goyal, Suman Chakravorty
This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of…
eess.SY2023★ 5 cited
Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
Saman Mostafavi, Chihyeon Song, Aayushman Sharma +2
We present a data-driven modeling and control framework for physics-based building emulators. Our approach consists of: (a) Offline training of differentiable surrogate models that…