Data-driven methods for building control—A review and promising future directions
ET Maddalena, Y Lian, CN Jones - Control Engineering Practice, 2020 - Elsevier
A review of the heating, ventilation and air-conditioning control problem for buildings is
presented with particular emphasis on its distinguishing features. Next, we not only examine …
presented with particular emphasis on its distinguishing features. Next, we not only examine …
Data-driven predictive control for autonomous systems
In autonomous systems, the ability to make forecasts and cope with uncertain predictions is
synonymous with intelligence. Model predictive control (MPC) is an established control …
synonymous with intelligence. Model predictive control (MPC) is an established control …
Interval uncertainty-oriented optimal control method for spacecraft attitude control
Robust model predictive control of irrigation systems with active uncertainty learning and data analytics
We develop a novel data-driven robust model predictive control (DDRMPC) approach for
automatic control of irrigation systems. The fundamental idea is to integrate both mechanistic …
automatic control of irrigation systems. The fundamental idea is to integrate both mechanistic …
Optimization under decision-dependent uncertainty
O Nohadani, K Sharma - SIAM Journal on Optimization, 2018 - SIAM
The efficacy of robust optimization spans a variety of settings with uncertainties bounded in
predetermined sets. In many applications, uncertainties are affected by decisions and …
predetermined sets. In many applications, uncertainties are affected by decisions and …
Challenges in, and the development of, building energy saving techniques, illustrated with the example of an air source heat pump
Energy consumption of building takes a big proportion among all consumers, which
promotes the research topics around building energy saving very hot. However, it is very …
promotes the research topics around building energy saving very hot. However, it is very …