20 citations · 52 across the 15 of their papers we have counts for
16 papers
TempoKV: Predictive KV Cache Quantization for Autoregressive Video Generation
Jiahui Hu, Weile Mo, Peiliang Cai +5
Autoregressive (AR) video diffusion models enable streaming generation of long videos but suffer from significant memory overhead due to the rapidly growing KV cache. Existing KV c…
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…
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…
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…
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…
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…
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…
Disturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violations for Savings in Building Climate Control
Jicheng Shi, Christophe Salzmann, Colin N. Jones
Model Predictive Control (MPC) has demonstrated significant potential in improving energy efficiency in building climate control, outperforming traditional controllers commonly use…
Efficient Recursive Data-enabled Predictive Control (Extended Version)
Jicheng Shi, Yingzhao Lian, Colin N. Jones
In the field of model predictive control, Data-enabled Predictive Control (DeePC) offers direct predictive control, bypassing traditional modeling. However, challenges emerge with…
Adaptive Data-Driven Prediction in a Building Control Hierarchy: A Case Study of Demand Response in Switzerland
Jicheng Shi, Yingzhao Lian, Christophe Salzmann +1
By providing various services, such as Demand Response (DR), buildings can play a crucial role in the energy market due to their significant energy consumption. However, effectivel…
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters
Yingzhao Lian, Jicheng Shi, Colin N. Jones
(Extended Version) Data-driven control can facilitate the rapid development of controllers, offering an alternative to conventional approaches. In order to maintain consistency bet…
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
Loris Di Natale, Yingzhao Lian, Emilio T. Maddalena +2
This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-drive…
Data-driven input reconstruction and experimental validation
Jicheng Shi, Yingzhao Lian, Colin N. Jones
This paper addresses a data-driven input reconstruction problem based on Willems' Fundamental Lemma in which unknown input estimators (UIEs) are constructed directly from historica…
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result
Yingzhao Lian, Jicheng Shi, Manuel Koch +1
Data-driven control approaches for the minimization of energy consumption of buildings have the potential to significantly reduce deployment costs and increase uptake of advanced c…
Robust Learning Model Predictive Control for Periodically Correlated Building Control
Jicheng Shi, Yingzhao Lian, Colin N. Jones
Accounting for more than 40% of global energy consumption, residential and commercial buildings will be key players in any future green energy systems. To fully exploit their poten…
Towards an Unified Structure for Reinforcement Learning: an Optimization Approach
Jicheng Shi, Yingzhao Lian, Colin N. Jones
Both the optimal value function and the optimal policy can be used to model an optimal controller based on the duality established by the Bellman equation. Even with this duality,…