80 citations · 109 across the 15 of their papers we have counts for
4 papers · 1 filter
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints
Seth Siriya, Jingge Zhu, Dragan Nešić +1
We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, wit…
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates
Yujia Yang, Ye Wang, Chris Manzie +1
The application of distributed model predictive controllers (DMPC) for multi-agent systems (MASs) necessitates communication between agents, yet the consequence of communication da…
Data-driven Predictive Tracking Control based on Koopman Operators
Ye Wang, Yujia Yang, Ye Pu +1
Constraint handling during tracking operations is at the core of many real-world control implementations and is well understood when dynamic models of the underlying system exist,…
Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels
Shuhao Zhang, Yujia Yang, Seth Siriya +1
We propose a safety-guaranteed planning and control framework for unmanned surface vessels (USVs), using Gaussian processes (GPs) to learn uncertainties. The uncertainties encounte…