2 citations · 2 across the 4 of their papers we have counts for
5 papers
Delay-Enabled Adaptive Learning of Time-Varying Parameters
Chengzhi Yuan, Mingxi Zhou
This paper proposes a novel adaptive learning method for unknown time-varying parameters by deliberately incorporating a delay into the parameter update. Specifically, a convention…
Hybrid Control of ADT Switched Linear Systems subject to Actuator Saturation
Fen Wu, Chengzhi Yuan
This paper develops a hybrid output-feedback control framework for average dwell-time (ADT) switched linear systems subject to actuator saturation. The considered subsystems may be…
A Novel Adaptive Formation Control Strategy for Teams of Unmanned Vehicles Under Complete Dynamic Uncertainty
Maryam Norouzi, Mingxi Zhou, Chengzhi Yuan
Modern unmanned systems, including aerial, terrestrial, and underwater vehicles, are increasingly utilized in dynamic and unpredictable environments, where the presence of modeling…
Adaptive Formation Learning Control for Cooperative AUVs under Complete Uncertainty
Emadodin Jandaghi, Mingxi Zhou, Paolo Stegagno +1
This paper presents a two-layer control framework for Autonomous Underwater Vehicles (AUVs) designed to handle uncertain nonlinear dynamics, including the mass matrix, previously a…
Composite Distributed Learning and Synchronization of Nonlinear Multi-Agent Systems with Complete Uncertain Dynamics
Emadodin Jandaghi, Dalton L. Stein, Adam Hoburg +3
This paper addresses the problem of composite synchronization and learning control in a network of multi-agent robotic manipulator systems with heterogeneous nonlinear uncertaintie…