4 papers
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…
Dual Dynamic Programming for Multi-Scale Mixed-Integer MPC
Ranjeet Kumar, Michael J. Wenzel, Mohammad N. ElBsat +3
We propose a dual dynamic integer programming (DDIP) framework for solving multi-scale mixed-integer model predictive control (MPC) problems. Such problems arise in applications th…
Stochastic Model Predictive Control for Central HVAC Plants
Ranjeet Kumar, Michael J. Wenzel, Mohammad N. ElBsat +3
We present a stochastic model predictive control (MPC) framework for central heating, ventilation, and air conditioning (HVAC) plants. The framework uses real data to forecast and…
Hierarchical MPC Schemes for Periodic Systems using Stochastic Programming
Ranjeet Kumar, Michael J. Wenzel, Matthew J. Ellis +3
We show that stochastic programming (SP) provides a framework to design hierarchical model predictive control (MPC) schemes for periodic systems. This is based on the observation t…