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Markus J. Kögel
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- affiliation: Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
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2020 – today
- 2021
- [c28]Markus J. Kögel, Rolf Findeisen:
Reducing conservatism in stochastic model predictive blending multiple control gains. ACC 2021: 2094-2101 - [c27]Markus J. Kögel, Rolf Findeisen:
Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes. CDC 2021: 2571-2577 - 2020
- [c26]Markus J. Kögel, Rolf Findeisen:
Robust MPC with Reduced Conservatism Blending Multiples Tubes. ACC 2020: 1949-1954
2010 – 2019
- 2019
- [c25]Markus J. Kögel, Rolf Findeisen
:
Combined online communication scheduling and output feedback MPC of cyber-physical systems. CCNC 2019: 1-6 - [c24]Seyed Hossein Mousavi, Navid Noroozi, Roman Geiselhart, Markus J. Kögel, Rolf Findeisen:
On integral input-to-state stability of event-triggered control systems. CDC 2019: 1674-1679 - [c23]Markus J. Kögel, Daniel E. Quevedo
Combined control and communication scheduling for constrained system using robust output feedback MPC. ECC 2019: 1778-1783 - 2018
- [c22]Markus J. Kögel, Rolf Findeisen
Improved Robust Decentralized MPC. ECC 2018: 312-318 - [c21]Markus J. Kögel, Petar Andonov, Marco Filax
Predictive Tracking Control of a Camera - Head Mounted Display System subject to Communication Constraints. ECC 2018: 1035-1041 - 2017
- [c20]Masako Kishida
Event-triggered actuator signal update using self-triggered sampled data for uncertain linear systems. ACC 2017: 3035-3041 - [c19]Markus J. Kögel, Rolf Findeisen
Low latency output feedback model predictive control for constrained linear systems. CDC 2017: 1925-1932 - 2016
- [j1]Sergio Lucia
Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annu. Rev. Control. 41: 193-207 (2016) - [c18]Masako Kishida
Verifying robust forward admissibility for nonlinear systems using (skewed) structured singular values. CDC 2016: 4065-4071 - [c17]Pablo Zometa, Hannes Heinemann, Sergio Lucia
Efficient stochastic model predictive control for embedded systems based on second-order cone programs. ECC 2016: 166-171 - 2015
- [c16]Markus J. Kögel, Rolf Findeisen
Discrete-time robust model predictive control for continuous-time nonlinear systems. ACC 2015: 924-930 - [c15]Sergio Lucia
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. CDC 2015: 3006-3012 - [c14]Markus J. Kögel, Rolf Findeisen
Robust output feedback predictive control with self-triggered measurements. CDC 2015: 5487-5493 - [c13]Markus J. Kögel, Rolf Findeisen
Self-triggered, prediction-based control of Lipschitz nonlinear systems. ECC 2015: 2150-2155 - 2014
- [c12]Markus J. Kögel, Rolf Findeisen
On self-triggered reduced-attention control for constrained systems. CDC 2014: 2795-2801 - [c11]Markus J. Kögel, Rolf Findeisen
Stabilization of inexact MPC schemes. CDC 2014: 5922-5928 - [c10]Markus J. Kögel, Rolf Findeisen
On MPC based trajectory tracking. ECC 2014: 121-127 - 2013
- [c9]Pablo Zometa, Markus J. Kögel, Rolf Findeisen:
μAO-MPC: A free code generation tool for embedded real-time linear model predictive control. ACC 2013: 5320-5325 - [c8]Markus J. Kögel, Rolf Findeisen:
On efficient predictive control of linear systems subject to quadratic constraints using condensed, structure-exploiting interior point methods. ECC 2013: 27-34 - [c7]Markus J. Kögel, Rolf Findeisen
Stability of NMPC with Cyclic Horizons. NOLCOS 2013: 809-814 - 2012
- [c6]Pablo Zometa, Markus J. Kögel, Timm Faulwasser, Rolf Findeisen:
Implementation aspects of model predictive control for embedded systems. ACC 2012: 1205-1210 - 2011
- [c5]Markus J. Kögel, Rolf Findeisen
Fast predictive control of linear, time-invariant systems using an algorithm based on the fast gradient method and augmented Lagrange multipliers. CCA 2011: 780-785 - [c4]Markus J. Kögel, Rolf Findeisen
Robust suboptimal control over lossy networks using extended input schemes. CACSD 2011: 210-215 - [c3]Markus J. Kögel, Rolf Findeisen
Fast predictive control of linear systems combining Nesterov's gradient method and the method of multipliers. CDC/ECC 2011: 501-506 - 2010
- [c2]Markus J. Kögel, Rainer Blind, Frank Allgöwer
Optimal control over unreliable networks with uncertain loss rates. ACC 2010: 3672-3677 - [c1]Paolo Varutti, Timm Faulwasser
Event-based reduced-attention predictive control for nonlinear uncertain systems. CACSD 2010: 1085-1090
Coauthor Index
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