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20132022
most citedMaximum Likelihood Estimation in Data-Driven Modeling and Control

87 citations · 306 across the 31 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

eess.SY2021★ 6 cited

Data-Driven Prediction with Stochastic Data: Confidence Regions and Minimum Mean-Squared Error Estimates

Mingzhou Yin, Andrea Iannelli, Roy S. Smith

Recently, direct data-driven prediction has found important applications for controlling unknown systems, particularly in predictive control. Such an approach provides exact predic…

math.OC2021★ 2 cited

Kernel-Based Identification with Frequency Domain Side-Information

Mohammad Khosravi, Roy S. Smith

In this paper, we discuss the problem of system identification when frequency domain side information is available on the system. Initially, we consider the case where the prior kn…

eess.SY2021★ 3 cited

Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain

Mohammad Khosravi, Roy S. Smith

In this paper, we consider the problem of system identification when side-information is available on the steady-state (or DC) gain of the system. We formulate a general nonparamet…

eess.SY2021★ 2 cited

Regularized Identification with Internal Positivity Side-Information

Mohammad Khosravi, Roy S. Smith

In this paper, we present an impulse response identification scheme that incorporates the internal positivity side-information of the system. The realization theory of positive sys…

math.OC2021

Distributed Model Predictive Control of Buildings and Energy Hubs

Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn +4

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their…

eess.SY2021

Design of input for data-driven simulation with Hankel and Page matrices

Andrea Iannelli, Mingzhou Yin, Roy S. Smith

The paper deals with the problem of designing informative input trajectories for data-driven simulation. First, the excitation requirements in the case of noise-free data are discu…