activity
20122026
most citedWeighted SPICE: A Unifying Approach for Hyperparameter-Free Sparse Estimation

129 citations · 568 across the 49 of their papers we have counts for

collaborators

53 papers

eess.SP2026

Obstacle-Aware Online Receiver Planning in Multistatic Ranging

Jingwei Hu, Dave Zachariah, Petre Stoica +1

Multistatic ranging with mobile receivers enables good tracking performance due to the combined adaptive sensor geometry. However, environments that contain signal obstructing obst…

eess.SY2026

Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model Filtering

Lovisa Eriksson, Torbjörn Wigren, Dave Zachariah +1

Time-delays are known to have a detrimental effect on feedback systems. In the context of networked cyber-physical systems, delays can be injected by malicious adversaries. Detecti…

eess.SY2025

Recursive Experiment Design for Closed-Loop Identification of ARMAX Systems with Output Perturbation Limits

Jingwei Hu, Dave Zachariah, Torbjörn Wigren +1

In many applications, system identification experiments must be performed in closed loop to ensure safety or to maintain system operation. In this paper, we consider the recursive…

eess.SP2025

Target Tracking using Robust Sensor Motion Control

Jingwei Hu, Dave Zachariah, Petre Stoica

We consider the problem of tracking moving targets using mobile wireless sensors (of possibly different types). This is a joint estimation and control problem in which a tracking s…

eess.SY2025

Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints

Jingwei Hu, Dave Zachariah, Torbjörn Wigren +1

We consider the joint problem of online experiment design and parameter estimation for identifying nonlinear system models, while adhering to system constraints. We utilize a reced…

stat.ML2024

Certified Inventory Control of Critical Resources

Ludvig Hult, Dave Zachariah, Petre Stoica

Inventory control is subject to service-level requirements, in which sufficient stock levels must be maintained despite an unknown demand. We propose a data-driven order policy tha…