102 citations · 152 across the 8 of their papers we have counts for
8 papers
Uncertainty Quantification for Recursive Estimation in Adaptive Safety-Critical Control
Max H. Cohen, Makai Mann, Kevin Leahy +1
In this paper, we present a framework for online parameter estimation and uncertainty quantification in the context of adaptive safety-critical control. The key insight enabling ou…
Modular Adaptive Safety-Critical Control
Max Cohen, Calin Belta
This paper presents an adaptive control approach for uncertain nonlinear systems subject to safety constraints that allows for modularity in the selection of the parameter estimati…
Robust Control Barrier Functions for Nonlinear Control Systems with Uncertainty: A Duality-based Approach
Max H. Cohen, Calin Belta, Roberto Tron
This paper studies the design of controllers that guarantee stability and safety of nonlinear control affine systems with parametric uncertainty in both the drift and control vecto…
High Order Robust Adaptive Control Barrier Functions and Exponentially Stabilizing Adaptive Control Lyapunov Functions
Max H. Cohen, Calin Belta
This paper studies the problem of utilizing data-driven adaptive control techniques to guarantee stability and safety of uncertain nonlinear systems with high relative degree. We f…
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
Max H. Cohen, Calin Belta
This paper develops a model-based reinforcement learning (MBRL) framework for learning online the value function of an infinite-horizon optimal control problem while obeying safety…
Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications
Max Cohen, Calin Belta
In this paper we study the problem of synthesizing optimal control policies for uncertain continuous-time nonlinear systems from syntactically co-safe linear temporal logic (scLTL)…
Approximate Optimal Control for Safety-Critical Systems with Control Barrier Functions
Max Cohen, Calin Belta
Control Barrier Functions (CBFs) have become a popular tool for enforcing set invariance in safety-critical control systems. While guaranteeing safety, most CBF approaches are myop…
End-to-end deep metamodeling to calibrate and optimize energy loads
Max Cohen, Maurice Charbit, Sylvain Le Corff +2
In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large buildings. A metamodel based on a Transf…