16 citations · 22 across the 7 of their papers we have counts for
6 papers · 1 filter
Accelerating MPC by online detection of state space sets with common optimal feedback laws
Kai König, Martin Mönnigmann
Model predictive control (MPC) samples a generally unknown and complicated feedback law point by point. The solution for the current state contains, however, more information t…
Regional predictive control with suboptimally extended regions of validity
Kai König, Martin Mönnigmann
Model predictive control (MPC) is based on perpetually solving optimization problems. The solution of the optimization is usually interpreted as the optimal input for the current s…
Simulation studies on regional predictive control
Kai König, Martin Mönnigmann
We apply recently proposed regional predictive control approaches to several examples to evaluate their efficiency. We present numerical results as well as hardware-in-the-loop (HI…
Accelerated Nonlinear Model Predictive Control by Exploiting Saturation
Raphael Dyrska, Ruth Mitze, Martin Mönnigmann
We present an approach for accelerating nonlinear model predictive control. If the current optimal input signal is saturated, also the optimal signals in subsequent time steps ofte…
Controllability analysis and optimal control of biomass drying with reduced order models
Marc Oliver Berner, Viktor Scherer, Martin Mönnigmann
Complex industrial processes such as the drying of combustible biomass can be modeled with computational fluid dynamics simulations. Due to their complexity, it is not straightforw…
A method for the optimization of nonlinear systems with delays that guarantees stability and robustness
Jonas Otten, Martin Mönnigmann
We present a method for the steady state optimization of nonlinear delay differential equations. The method ensures stability and robustness, where a system is called robust if it…