4 papers
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation
Yun Li, Yixiu Wang, Yifu Chen +5
This paper proposes a deep learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), r…
MPC Controller Tuning using Bayesian Optimization Techniques
Qiugang Lu, Ranjeet Kumar, Victor M. Zavala
We present a Bayesian optimization (BO) framework for tuning model predictive controllers (MPC) of central heating, ventilation, and air conditioning (HVAC) plants. This approach t…
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control
Qiugang Lu, Sungho Shin, Victor M. Zavala
Dynamic mode decomposition (DMD) is a versatile approach that enables the construction of low-order models from data. Controller design tasks based on such models require estimates…
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition
Sungho Shin, Qiugang Lu, Victor M. Zavala
This paper presents unifying results for subspace identification (SID) and dynamic mode decomposition (DMD) for autonomous dynamical systems. We observe that SID seeks to solve an…