activity
20202026
most citedLessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

7 citations · 7 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SY2026

User-specified Kelvin-hour budgets within model predictive control for energy-efficient buildings: Simulation and field demonstration

Jicheng Shi, Colin N. Jones

For energy-efficient building control, model predictive control (MPC) has been widely proposed to reduce energy use while maintaining prescribed indoor temperature bounds. In pract…

eess.SY2025

Personalized Building Climate Control with Contextual Preferential Bayesian Optimization

Wenbin Wang, Jicheng Shi, Colin N. Jones

Efficient tuning of building climate controllers to optimize occupant utility is essential for ensuring overall comfort and satisfaction. However, this is a challenging task since…

math.OC2025

Distributionally Robust System Level Synthesis With Output Feedback Affine Control Policy

Yun Li, Jicheng Shi, Colin N. Jones +2

This paper studies the finite-horizon robust optimal control of constrained linear systems subject to model mismatch and additive stochastic disturbances. Utilizing the system leve…

eess.SY2025

Model Predictive Building Climate Control for Mitigating Heat Pump Noise Pollution (Extended Version)

Yun Li, Jicheng Shi, Colin N. Jones +2

Noise pollution from heat pumps (HPs) has been an emerging concern to their broader adoption, especially in densely populated areas. This paper explores a model predictive control…

eess.SY2025

Disturbance-adaptive Model Predictive Control for Bounded Average Constraint Violations

Jicheng Shi, Colin N. Jones

This paper considers stochastic linear time-invariant systems subject to constraints on the average number of state-constraint violations over time without knowing the disturbance…

eess.SY2025

What price to pay? Auto-tuning a building MPC controller for optimal economic cost

Jiarui Yu, Jicheng Shi, Wenjie Xu +1

Demand-side management (DSM) programs introduce complex pricing, requiring advanced control for cost minimization. Model Predictive Control (MPC) offers a solution but its performa…