activity
20082024
most citedOptimal Energy Allocation for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgments and Energy Harvesting Constraints

82 citations · 134 across the 17 of their papers we have counts for

collaborators

21 papers

cs.MA2024

Distributed Multi-Object Tracking Under Limited Field of View Heterogeneous Sensors with Density Clustering

Fei Chen, Hoa Van Nguyen, Alex S. Leong +3

We consider the problem of tracking multiple, unknown, and time-varying numbers of objects using a distributed network of heterogeneous sensors. In an effort to derive a formulatio…

eess.SP2023

Estimation of Scalar Field Distribution in the Fourier Domain

Alex S. Leong, Alexei T. Skvortsov

In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected by unmanned autonomous ve…

stat.ME2022

A Logistic Regression Approach to Field Estimation Using Binary Measurements

Alex S. Leong, Mohammad Zamani, Iman Shames

In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated the problem as a parameter estimation problem, with the paramete…

eess.SY2022

Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes

Alex S. Leong, Daniel E. Quevedo, Wanchun Liu

In this paper we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different co…

cs.LG2021

Learning Safety Filters for Unknown Discrete-Time Linear Systems

Farhad Farokhi, Alex S. Leong, Mohammad Zamani +1

A learning-based safety filter is developed for discrete-time linear time-invariant systems with unknown models subject to Gaussian noises with unknown covariance. Safety is charac…

cs.LG2021★ 1 cited

Safe Learning of Uncertain Environments

Farhad Farokhi, Alex Leong, Iman Shames +1

In many learning based control methodologies, learning the unknown dynamic model precedes the control phase, while the aim is to control the system such that it remains in some saf…