1 citations · 1 across the 4 of their papers we have counts for
4 papers
Machine Learning Accelerated PDE Backstepping Observers
Yuanyuan Shi, Zongyi Li, Huan Yu +3
State estimation is important for a variety of tasks, from forecasting to substituting for unmeasured states in feedback controllers. Performing real-time state estimation for PDEs…
Simultaneous Lane-Keeping and Obstacle Avoidance by Combining Model Predictive Control and Control Barrier Functions
Sven Brüggemann, Drew Steeves, Miroslav Krstic
In this work, we combine {Model Predictive Control} (MPC) and Control Barrier Function (CBF) design {methods} to create a hierarchical control law for simultaneous lane-keeping (LK…
Prescribed-Time Safety Design for a Chain of Integrators
Imoleayo Abel, Drew Steeves, Miroslav Krstic +1
Safety in dynamical systems is commonly pursued using control barrier functions (CBFs) which enforce safety-constraints over the entire duration of a system's evolution. We propose…
Controllability of coupled parabolic systems with multiple underactuations: parts I and II
Drew Steeves, Bahman Gharesifard, Abdol-Reza Mansouri
This work studies the null controllability of a system of coupled parabolic PDEs. In particular, our work specializes to an important subclass of these control problems which are c…