Optimal control over unreliable networks with uncertain loss rates. - Markus J. Kögel; Rainer Blind; Frank Allgöwer (ACC, 2010)

Event-based reduced-attention predictive control for nonlinear uncertain systems. - Paolo Varutti; Timm Faulwasser; Benjamin Kern; Markus J. Kögel; Rolf Findeisen (CACSD, 2010)

Fast predictive control of linear, time-invariant systems using an algorithm based on the fast gradient method and augmented Lagrange multipliers. - Markus J. Kögel; Rolf Findeisen (CCA, 2011)

Robust suboptimal control over lossy networks using extended input schemes. - Markus J. Kögel; Rolf Findeisen (CACSD, 2011)

Fast predictive control of linear systems combining Nesterov's gradient method and the method of multipliers. - Markus J. Kögel; Rolf Findeisen (CDC/ECC, 2011)

Implementation aspects of model predictive control for embedded systems. - Pablo Zometa; Markus J. Kögel; Timm Faulwasser; Rolf Findeisen (ACC, 2012)

μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. - Pablo Zometa; Markus J. Kögel; Rolf Findeisen (ACC, 2013)

On efficient predictive control of linear systems subject to quadratic constraints using condensed, structure-exploiting interior point methods. - Markus J. Kögel; Rolf Findeisen (ECC, 2013)

Stability of NMPC with Cyclic Horizons. - Markus J. Kögel; Rolf Findeisen (NOLCOS, 2013)

On self-triggered reduced-attention control for constrained systems. - Markus J. Kögel; Rolf Findeisen (CDC, 2014)

Stabilization of inexact MPC schemes. - Markus J. Kögel; Rolf Findeisen (CDC, 2014)

On MPC based trajectory tracking. - Markus J. Kögel; Rolf Findeisen (ECC, 2014)

Discrete-time robust model predictive control for continuous-time nonlinear systems. - Markus J. Kögel; Rolf Findeisen (ACC, 2015)

Robust output feedback predictive control with self-triggered measurements. - Markus J. Kögel; Rolf Findeisen (CDC, 2015)

Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. - Sergio Lucia; Pablo Zometa; Markus J. Kögel; Rolf Findeisen (CDC, 2015)

Self-triggered, prediction-based control of Lipschitz nonlinear systems. - Markus J. Kögel; Rolf Findeisen (ECC, 2015)

Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. - Masako Kishida; Markus J. Kögel; Rolf Findeisen (CDC, 2016)

Efficient stochastic model predictive control for embedded systems based on second-order cone programs. - Pablo Zometa; Hannes Heinemann; Sergio Lucia; Markus J. Kögel; Rolf Findeisen (ECC, 2016)

Predictive control, embedded cyberphysical systems and systems of systems - A perspective. - Sergio Lucia; Markus J. Kögel; Pablo Zometa; Daniel E. Quevedo; Rolf Findeisen (Annu. Rev. Control., 2016)

Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. - Masako Kishida; Markus J. Kögel; Rolf Findeisen (ACC, 2017)

Low latency output feedback model predictive control for constrained linear systems. - Markus J. Kögel; Rolf Findeisen (CDC, 2017)

Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. - Markus J. Kögel; Petar Andonov; Marco Filax; Frank Ortmeier; Rolf Findeisen (ECC, 2018)

Improved Robust Decentralized MPC. - Markus J. Kögel; Rolf Findeisen (ECC, 2018)

Combined online communication scheduling and output feedback MPC of cyber-physical systems. - Markus J. Kögel; Rolf Findeisen (CCNC, 2019)

On integral input-to-state stability of event-triggered control systems. - Seyed Hossein Mousavi; Navid Noroozi; Roman Geiselhart; Markus J. Kögel; Rolf Findeisen (CDC, 2019)

Combined control and communication scheduling for constrained system using robust output feedback MPC. - Markus J. Kögel; Daniel E. Quevedo; Rolf Findeisen (ECC, 2019)

Robust MPC with Reduced Conservatism Blending Multiples Tubes. - Markus J. Kögel; Rolf Findeisen (ACC, 2020)

Reducing conservatism in stochastic model predictive blending multiple control gains. - Markus J. Kögel; Rolf Findeisen (ACC, 2021)

Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. - Markus J. Kögel; Rolf Findeisen (CDC, 2021)