136 citations · 190 across the 18 of their papers we have counts for
14 papers · 1 filter
Robust Subspace System Identification via Weighted Nuclear Norm Optimization
Dorsa Sadigh, Henrik Ohlsson, S. Shankar Sastry +1
Subspace identification is a classical and very well studied problem in system identification. The problem was recently posed as a convex optimization problem via the nuclear norm…
Blind Identification via Lifting
Henrik Ohlsson, Lillian J. Ratliff, Roy Dong +1
Blind system identification is known to be an ill-posed problem and without further assumptions, no unique solution is at hand. In this contribution, we are concerned with the task…
Incentive Design and Utility Learning via Energy Disaggregation
Lillian J. Ratliff, Roy Dong, Henrik Ohlsson +1
The utility company has many motivations for modifying energy consumption patterns of consumers such as revenue decoupling and demand response programs. We model the utility compan…
Finding sparse solutions of systems of polynomial equations via group-sparsity optimization
Fabien Lauer, Henrik Ohlsson
The paper deals with the problem of finding sparse solutions to systems of polynomial equations possibly perturbed by noise. In particular, we show how these solutions can be recov…
Fundamental Limits of Nonintrusive Load Monitoring
Roy Dong, Lillian Ratliff, Henrik Ohlsson +1
Provided an arbitrary nonintrusive load monitoring (NILM) algorithm, we seek bounds on the probability of distinguishing between scenarios, given an aggregate power consumption sig…
Scalable Anomaly Detection in Large Homogenous Populations
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad +2
Anomaly detection in large populations is a challenging but highly relevant problem. The problem is essentially a multi-hypothesis problem, with a hypothesis for every division of…