1 citations · 2 across the 4 of their papers we have counts for
5 papers
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control
Jan de Priester, Ricardo G. Sanfelice, Nathan van de Wouw
Reinforcement learning (RL) is a promising approach for deriving control policies for complex systems. As we show in two control problems, the derived policies from using the Proxi…
Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms
Haleh Hayati, Carlos Murguia, Nathan van de Wouw
We address the problem of synthesizing distorting mechanisms that maximize privacy of stochastic dynamical systems. Information about the system state is obtained through sensor me…
Improving mechanical ventilation for patient care through repetitive control
Joey Reinders, Ruben Verkade, Bram Hunnekens +2
Mechanical ventilators sustain life of patients that are unable to breathe (sufficiently) on their own. The aim of this paper is to improve pressure tracking performance of mechani…
Switching control for tracking of a hybrid position-force trajectory
D. J. F. Heck, A. Saccon, N. van de Wouw +1
This work proposes a control law for a manipulator with the aim of realizing desired time-varying motion-force profiles in the presence of a stiff environment. In many cases, the i…
Backstepping controller synthesis and characterizations of incremental stability
Majid Zamani, Nathan van de Wouw, Rupak Majumdar
Incremental stability is a property of dynamical and control systems, requiring the uniform asymptotic stability of every trajectory, rather than that of an equilibrium point or a…