Online Optimal Control with Affine Constraints

Authors: Yingying Li, Subhro Das, Na Li8527-8537

AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Numerical Experiments In this section, we numerically test our OGD-BZ on a thermal control problem with a Heating Ventilation and Air Conditioning (HVAC) system.
Researcher Affiliation Collaboration Yingying Li,1 Subhro Das,2 Na Li1 1 John A. Paulson School of Engineering and Applied Sciences, Harvard University 2 MIT-IBM Watson AI Lab, IBM Research
Pseudocode Yes Algorithm 1: OGD-BZ
Open Source Code No The paper does not provide any statement or link regarding the availability of its source code.
Open Datasets No The paper uses a simulated thermal control problem described by linear dynamics and generates random disturbances (wt be i.i.d. generated from Unif(-2, 2)), but it does not specify a publicly available dataset or provide access information for one.
Dataset Splits No The paper describes running "1000 trials" in its numerical experiments but does not provide specific training, validation, or test dataset splits or percentages, as it describes a simulation setup rather than a dataset-based evaluation with fixed splits.
Hardware Specification No The paper does not specify any hardware details such as GPU models, CPU types, or memory used for running the experiments.
Software Dependencies No The paper does not list specific software dependencies with version numbers.
Experiment Setup Yes When applying OGD-BZ, we select H = 7 and a diminishing stepsize ηt = Θ(t^-0.5), i.e. we let ηt = 0.5(40)^-0.5 for t < 40 and ηt = 0.5(t + 1)^-0.5 for t >= 40. ... We consider v = 100, ζ = 6, θo = 30 C, π = 1.5, and let wt be i.i.d. generated from Unif(-2, 2). Besides, we consider θset = 24 C, xmin = 22 C, xmax = 26 C, umin = 0, umax = 5. We consider qt = 2 for all t and time-varying rt generated i.i.d. from Unif(0.1, 4).