Abstract: The uncertainty of wireless communication seriously affects the control performance of the platoon. In this article, a model predictive control (MPC) method based on dynamic event-triggering ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...

In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

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1 Country State Grid Fujian Electric Power Co., Ltd., Fuzhou, China 2 Putian Electric Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Putian, China Conventional model-based ...