Receding horizon optimal control for infinite dimensional systems

By Kazufumi Ito, Karl Kunisch. 2002

115 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/a96bfd0f8532cd5aa18eb038724ecab111ea3906

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Hermann Mena
2. Lars Grüne
3. Jens Saak
4. David Q. Mayne
5. Sigurdur Freyr Hafstein
6. Peter Giesl

In Numerical Analysis

1. Hermann Mena
2. Lars Grüne
3. Jens Saak
4. Sigurdur Freyr Hafstein
5. Peter Giesl

Citations in the corpus

• On the Parameter Selection Problem in the Newton-ADI Iteration for Large Scale Riccati Equations (2007, background): “1) is nonlinear, model predictive control technics can be applied [5, 21, 22].”
• Approximation Properties of Receding Horizon Optimal Control (2016, background): “, in [33]) significantly increases the performance and reduces the numerical effort.”