1 citations · 1 across the 6 of their papers we have counts for
30 papers
Safe Exploration and Escape Local Minima with Model Predictive Control under Partially Unknown Constraints
Raffaele Soloperto, Ali Mesbah, Frank Allgöwer
In this paper, we propose a novel model predictive control (MPC) framework for output tracking that deals with partially unknown constraints. The MPC scheme optimizes over a learni…
A novel constraint tightening approach for robust data-driven predictive control
Christian Klöppelt, Julian Berberich, Frank Allgöwer +1
In this paper, we present a data-driven model predictive control (MPC) scheme that is capable of stabilizing unknown linear time-invariant systems under the influence of process di…
Dynamic self-triggered control for nonlinear systems with delays
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a resource efficient approach to determine sampling instants for Networked Control Systems (NCS). Recently, a dynamic STC strategy based on hybrid L…
Robust dynamic self-triggered control for nonlinear systems using hybrid Lyapunov functions
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a resource efficient approach to determine sampling instants for Networked Control Systems. At each sampling instant, an STC mechanism determines no…
Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions
Michael Hertneck, Frank Allgöwer
Self-triggered control (STC) is a well-established technique to reduce the amount of samples for sampled-data systems, and is hence particularly useful for Networked Control System…
Robust output feedback model predictive control using online estimation bounds
Johannes Köhler, Matthias A. Müller, Frank Allgöwer
We present a framework to design nonlinear robust output feedback model predictive control (MPC) schemes that ensure constraint satisfaction under noisy output measurements and dis…