most citedDistributed Fault Diagnosis in Discrete Event Systems with Transmission Delay Impairments

11 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY20262 cited

An Adaptive Longitudinal Platooning Design Based On Concurrent Learning

Qiuhao Wen, Di Liu, Jiwei Wang +1

This work proposes a new adaptive longitudinal platooning strategy in the framework of concurrent learning. Adaptive refers to vehicles facing uncertainty in powertrain parameters…

eess.SY2026

Correct Online Estimation of the Powertrain Time Constants in Adaptive Vehicular Platooning

Qiuhao Wen, Simone Baldi, Jiwei Wang +2

In longitudinal platooning, some key sources of uncertainty are the powertrain time constants of the vehicles. Because such time constants appear in the input matrix of the platoon…

math.OC20261 cited

Enforcing Opacity in Discrete Event Systems via Delayed Observations

Jiwei Wang, Simone Baldi, Wenwu Yu +1

Artificially introducing a delay in the observations of a system can be an effective mechanism to mask the system itself, with the goal to increase its opacity and thus its securit…

math.OC202611 cited

Distributed Fault Diagnosis in Discrete Event Systems with Transmission Delay Impairments

Jiwei Wang, Simone Baldi, Wenwu Yu +1

This note studies the distributed fault diagnosis problem in partially-observed discrete event systems, where the system is monitored by a group of agents to cooperatively diagnose…

eess.SY20269 cited

Boundary-layer control with unstructured uncertainties with application to adaptive autopilots

Peng Li, Di Liu, Simone Baldi

Control with unstructured uncertainties refers to controlling systems where not only the parameters are unknown, but also the way the parameters appear in the dynamics. This proble…

math.OC2026

Bridging Model Reference Adaptive Control and Data Informativity

Jiwei Wang, Simone Baldi, Henk J. van Waarde

The goal of model reference adaptive control (MRAC) is to ensure that the trajectories of an unknown dynamical system track those of a given reference model. This is done by means…