16 citations · 42 across the 14 of their papers we have counts for
15 papers
Domain Adaptive Safety Filters via Deep Operator Learning
Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab
Learning-based approaches for constructing Control Barrier Functions (CBFs) are increasingly being explored for safety-critical control systems. However, these methods typically re…
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab
Control Barrier Functions (CBFs) provide an elegant framework for constraining nonlinear control system dynamics to remain within an invariant subset of a designated safe set. Howe…
Safety Filter Design for Neural Network Systems via Convex Optimization
Shaoru Chen, Kong Yao Chee, Nikolai Matni +2
With the increase in data availability, it has been widely demonstrated that neural networks (NN) can capture complex system dynamics precisely in a data-driven manner. However, th…
One-Shot Reachability Analysis of Neural Network Dynamical Systems
Shaoru Chen, Victor M. Preciado, Mahyar Fazlyab
The arising application of neural networks (NN) in robotic systems has driven the development of safety verification methods for neural network dynamical systems (NNDS). Recursive…
Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis
Shaoru Chen, Ning-Yuan Li, Victor M. Preciado +1
We present a robust model predictive control method (MPC) for discrete-time linear time-delayed systems with state and control input constraints. The system is subject to both poly…
Differentiable Safe Controller Design through Control Barrier Functions
Shuo Yang, Shaoru Chen, Victor M. Preciado +1
Learning-based controllers, such as neural network (NN) controllers, can show high empirical performance but lack formal safety guarantees. To address this issue, control barrier f…