2 citations · 3 across the 5 of their papers we have counts for
5 papers
Model Predictive Control for output tracking with prescribed performance
Dario Dennstädt
Model Predictive Control (MPC) offers a versatile framework for constraint handling and multi-objective optimisation, yet practical application faces challenges regarding initial a…
Funnel control with input filter for nonlinear systems of relative degree two
D. Dennstädt, J. Schaa, T. Berger
We address the problem of output reference tracking for unknown nonlinear multi-input, multi-output systems with relative degree two and bounded-input bounded-state (BIBS) stable i…
A low-complexity funnel control approach for non-linear systems of higher-order
Dario Dennstädt
We address the problem of output reference tracking for unknown non-linear multi-input, multi-output systems described by functional differential equations. This class of systems i…
Towards Funnel MPC for nonlinear systems with relative degree two
Dario Dennstädt
Funnel MPC, a novel Model Predictive Control (MPC) scheme, allows guaranteed output tracking of smooth reference signals with prescribed error bounds for nonlinear multi-input mult…
Funnel MPC for nonlinear systems with relative degree one
Thomas Berger, Dario Dennstädt, Achim Ilchmann +1
We show that Funnel MPC, a novel Model Predictive Control (MPC) scheme, allows tracking of smooth reference signals with prescribed performance for nonlinear multi-input multi-outp…