dr.ir. T. Keviczky (Tamas)
Tamas Keviczky received the M.Sc. degree in Electrical Engineering from the Budapest University of Technology and Economics, Budapest, Hungary, in 2001, and the Ph.D. degree from the Control Science and Dynamical Systems Center, University of Minnesota, Minneapolis, in 2005. He is currently an Associate Professor with the Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands. He was a Postdoctoral Scholar in Control and Dynamical Systems, California Institute of Technology, Pasadena. He has been serving as Associate Editor of Automatica and he was a corecipient of the AACC O. Hugo Schuck Best Paper Award for Practice in 2005. His research interests include distributed optimization and optimal control, model predictive control, embedded optimizationbased control and estimation of largescale systems with applications in aerospace, automotive and mobile robotics, industrial processes, and infrastructure systems such as water, heat, and electricity networks.

TU Delft
 Steering Group and Board Member of PowerWeb, Delft University of Technology, The Netherlands.
 Steering Board Member and Focus Theme Leader (Distributed Space Systems) in the TU Delft Space Institute.
 Associated Member and contributor to the Delft Robotics Institute.
 Associated Member and contributor to the Dutch Automated Vehicle Initiative (DAVI).
 Member of the Examination Committee of the 3mE Faculty, Delft University of Technology, The Netherlands since 2013.
 Member of DISC Best Thesis Award committee in 2015.
International
 Associate Editor of Automatica since 2011.
 Member of the Public Body of the Hungarian Academy of Sciences.
Professional Memberships
 Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
 Member of the Conference Editorial Board, Control Systems Society.
 Member of the IEEE Robotics & Automation Society.
 Member of IFAC Technical Committees on Networked Systems (1.5) and Large Scale Complex Systems (5.4).

 NWO URSES+ proposal on Aquifer Thermal Energy Storage Smart Grids+ has been granted to enable a pilot implementation of distributed stochastic MPC for coordination of nearby ATES systems in Amsterdam!
 Tamás gives a talk at the PowerWeb lunch lecture on distributed control of ATES systems.
 Oscar presenting his work at the 2016 IEEE PES General Meeting in Boston.
 João and Yiming presenting their work at ACC’16 in Boston.
 Laura and Vahab presenting their work at ECC’16 in Aalborg, Denmark.
 Final Workshop and Demo of the RECONFIGURE EU project was a great success at Airbus Operations, Toulouse, Saint Martin.
 PM4 of the RECONFIGURE EU project was held in Delft. group photo
 Laura presenting her work at CDC’15 in Osaka, Japan.
 Niels, Laura, and Vahab presenting their work at NMPC’15 in Seville, Spain.
 Yiming's paper on “Datadriven sensor fault estimation filter design with guaranteed stability” was selected as a Finalist for the Paul M. Frank paper award for theory at SAFEPROCESS’15.
 Tamás was chosen as the Best MSc teacher of Systems & Control in 20142015 by the Gezelschap Leeghwater student association at 3mE, TU Delft.
Research

Distributed Optimization for Control and Estimation in LargeScale Systems
 Distributed Model Predictive Control
 Distributed Moving Horizon Estimation
 Distributed Robotics
 Networked Control Systems
Embedded RealTime OptimizationBased Control and Estimation
 CyberPhysical Systems
 Fault Detection, Estimation, and Reconfigurable Control
 Parallel, Asynchronous Computation for RealTime Autonomous DecisionMaking
Application Areas
 Robotic Networks
 MultiVehicle Systems
 Aeronautical and Space Applications
 Automotive Applications
 Thermal, Electricity, and WaterNetworks

2017  2019 Aquifer Thermal Energy Storage Smart Grids+
NWO URSES+ project (Netherlands Organisation for Scientific Research)
Uncertainty Reduction in Smart Energy Systems+
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator2016 MultiLab – Multifunctional lab environment for embedded automotive &
aerospace controls research, multivehicle systems testing, and mobile robotics
Beleidsruimte initiative of 3mE faculty at TU Delft
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator2015 Decentralised Model Predictive Control for Formation Flying Satellites
TU Delft Space Institute – Distributed Space Systems
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator and CoApplicant.2015 DRIFTER – A smallscale testbed environment for autonomous driving on the
limits of handling, using embedded, realtime optimizationbased control
Cohesion initiative of 3mE faculty at TU Delft
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator.2015  2017 Cooperative Control of Offshore Wind Farm Distribution Grids
Industrysponsored project
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator.2014  2018 Aquifer Thermal Energy Storage Smart Grids
NWO URSES project (Netherlands Organisation for Scientific Research)
Uncertainty Reduction in Smart Energy Systems
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator.2014 Amphibian – Enabling Formations of Mixed Land and Waterborne Vehicles
with Mixed Autonomous and Humanbased Control
Cohesion initiative of 3mE faculty at TU Delft
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: CoApplicant. 
2013  2016 Reconfiguration of Control in Flight for Integral Global Upset Recovery
RECONFIGURE EU FP7 project
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator.2008  2012 MultiAgent Control on a Mobile Robot Testbed
Beleidsruimte initiative of 3mE faculty at TU Delft
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Principal Investigator.2008  2011 Hierarchical and distributed model predictive control of largescale complex systems
HDMPC EU FP7 project
Delft Center for Systems and Control, Delft University of Technology, The Netherlands.
Role: Participant (Assistant Professor).2004  2005 Marie Curie Transfer of Knowledge Program (MCTOK)
Dipartimento di Ingegneria, Università degli Studi del Sannio, Benevento, Italy.
Role: EarlyStage Visiting Researcher supervised by Prof. F. Borrelli.2001  2004 SoftwareEnabled Control Program
DARPA SEC project
Department of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis.
Role: Participant (PhD), UMNUC Berkeley FixedWing Demo Responsible.
Publications

[J22] Building climate energy management in smart thermal grids via aquifer thermal energy storage systems
V. Rostampour, M. JaxaRozen, M. Bloemendal and T. Keviczky
accepted to Special Issue of Energy Procedia, 2016.[J21] RealTime Predictive Flight Control Design Using OperatorSplitting and Gradient Methods
L. Ferranti and T. Keviczky
to appear in the Special Issue on “Computational Guidance and Control” in the AIAA Journal of Guidance, Control, and Dynamics, 2016.[J20] DataDriven Robust Receding Horizon Fault Estimation
Y. Wan, T. Keviczky, M. Verhaegen and F. Gustafsson
Automatica, September 2016, Vol. 71, No. 9, pp. 210221.[J19] A comparison of distributed MPC schemes on a hydro power plant benchmark
J. M. Maestre, M. A. Ridao, A. Kozma, C. Savorgnan, M. Diehl, M. D. Doan, A. Sadowska, T. Keviczky, B. De Schutter, H. Scheu, W. Marquardt, F. Valencia and J. Espinosa
Optimal Control Applications and Methods, Wiley InterScience, 2015, DOI: 10.1002/oca.2154.[J18] An adaptive constraint tightening approach to linear model predictive control based on approximation algorithms for optimization
I. Necoara, L. Ferranti and T. Keviczky
Optimal Control Applications and Methods, Wiley InterScience, Special Issue: Predictive Control for Embedded Systems, Vol. 36, No. 5, September/October 2015, pp. 648666, DOI: 10.1002/oca.2121.[J17] A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley
M. D. Doan, P. Giselsson, T. Keviczky, B. De Schutter and A. Rantzer
Control Engineering Practice, Vol. 21, No. 11, November 2013, pp. 15941605.[J16] Distributed Computation Particle Filters on GPUArchitectures for RealTime Control Applications
M. Chitchian, A. Simonetto, A. S. van Amesfoort, T. Keviczky
IEEE Transactions of Control Systems Technology, Vol. 21, No. 6, November 2013, pp. 22242238.[J15] Constrained Distributed Algebraic Connectivity Maximization in Robotic Networks
A. Simonetto, T. Keviczky and R. Babuška
Automatica, Vol. 49, No. 5, May 2013, pp. 13481357.[J14] Accelerated gradient methods and dual decomposition in distributed model predictive control
P. Giselsson, M. D. Doan, T. Keviczky, B. De Schutter and A. Rantzer
Automatica, Vol. 49, No. 3, March 2013, pp. 829833.[J13] An Iterative Scheme for Distributed Model Predictive Control Using Fenchel's Duality
M. D. Doan, T. Keviczky and B. De Schutter
Journal of Process Control, Special Issue on Hierarchical and Distributed Model Predictive Control, Vol. 21, No. 5, June 2011, pp. 746755.[J12] A DecompositionBased Approach to Linear TimePeriodic Distributed Control of Satellite Formations
P. Massioni, T. Keviczky, E. Gill and M. Verhaegen
IEEE Transactions on Control Systems Technology, Vol. 19, No. 3, May 2011, pp. 481492.[J11] A Distributed Version of Han's Method for DMPC Using Local Communications Only
D. Doan, T. Keviczky, I. Necoara, M. Diehl and B. De Schutter
Control Engineering and Applied Informatics, 2009, Vol. 11, No. 3, pp. 615.[J10] Distributed Model Predictive Control for Irrigation Canals
R. R. Negenborn, P. J. van Overloop, T. Keviczky and B. De Schutter
Networks and Heterogeneous Media, June 2009, Vol. 4, No. 2, pp. 359380.[J9] Distributed LQR Design for Identical Dynamically Decoupled Systems
F. Borrelli and T. Keviczky
IEEE Transactions on Automatic Control, August 2008, Vol. 53, No. 8, pp. 19011912.[J8] Decentralized Receding Horizon Control and Coordination of Autonomous Vehicle Formations
T. Keviczky, F. Borrelli, K. C. Fregene, D. Godbole and G. J. Balas
IEEE Transactions on Control Systems Technology, January 2008, Vol. 16, No. 1, pp. 1933.[J7] Decentralized Receding Horizon Control for Large Scale Dynamically Decoupled Systems
T. Keviczky, F. Borrelli and G. J. Balas
Automatica, December 2006, Vol. 42, No. 12, pp. 21052115.[J6] Fault Detection Design for Uninhabited Aerial Vehicles
H. P. Rotstein, R. Ingvalson, T. Keviczky and G. J. Balas
AIAA Journal of Guidance, Control, and Dynamics, SeptemberOctober 2006, Vol. 29, No. 5, pp. 10511060.[J5] SoftwareEnabled Receding Horizon Control for Autonomous UAV Guidance
T. Keviczky and G. J. Balas
AIAA Journal of Guidance, Control, and Dynamics, MayJune 2006, Vol. 29, No. 3, pp. 680694.[J4] Receding Horizon Control of an F16 Aircraft: a Comparative Study
T. Keviczky and G. J. Balas
Control Engineering Practice, September 2006, Vol. 14, No. 9, pp. 10231033.[J3] Hybrid Decentralized Control of Large Scale Systems
F. Borrelli, T. Keviczky, G. J. Balas, G. Stewart, K. Fregene and D. Godbole
Hybrid Systems: Computation and Control, in ser. Lecture Notes in Computer Science, Springer, March 2005, Vol. 3414, pp. 168183.[J2] MPCBased Approach to Active Steering for Autonomous Vehicle Systems
F. Borrelli, P. Falcone, T. Keviczky, J. Asgari and D. Hrovat
International Journal of Vehicle Autonomous Systems, 2005, Vol. 3, Nos. 2/3/4, pp. 265291.[J1] Active Direct Tilt Control for Stability Enhancement of a Narrow Commuter Vehicle
D. Piyabongkarn, T. Keviczky and R. Rajamani
International Journal of Automotive Technology, June 2004, Vol. 5, No. 2, pp. 7788. 
[BC5] A hierarchical MPC approach with guaranteed feasibility for dynamically coupled linear systems
M. D. Doan, T. Keviczky and B. De Schutter
in Distributed Model Predictive Control Made Easy edited by J. M. Maestre and R. R. Negenborn, in ser. Intelligent Systems, Control and Automation: Science and Engineering, Vol. 69, Springer, 2013, pp. 393406.[BC4] Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach
A. Simonetto, T. Keviczky and R. Babuška
in Distributed Autonomous Robotic Systems (DARS 2010) edited by A. Martinoli et al, Springer Tracts in Advanced Robotics (STAR series), Vol. 83, 2013, pp. 267279.[BC3] Distributed Nonlinear Estimation for Diverse Sensor Devices
A. Simonetto and T. Keviczky
in Distributed Decision Making and Control edited by R. Johansson and A. Rantzer, in ser. Lecture Notes in Control and Information Sciences, Springer, Vol. 417, 2012, pp. 147169.[BC2] Distributed Control Methods for Structured LargeScale Systems
J. Rice, P. Massioni, T. Keviczky and M. Verhaegen
in Efficient Modeling and Control of LargeScale Systems edited by J. Mohammadpour and K. M. Grigoriadis, Springer, 2010, pp. 279303.[BC1] Distributed Predictive Control: Synthesis, Stability and Feasibility
T. Keviczky, F. Borrelli and G. J. Balas
in Cooperative Control of Distributed MultiAgent Systems edited by Jeff Shamma, John Wiley & Sons, November 2007, pp. 79108. 
[C63] A model predictive framework of GSHP coupled with ATES system in heating and cooling networks of a building
V. Rostampour, M. Bloemendal and T. Keviczky
to appear in International Energy Agency (IEA) Conference on Heat Pumps, 2017.[C62] Timing Abstraction of Perturbed LTI systems with L2based EventTriggering Mechanism
A. S. Kolarijani, M. Mazo Jr. and T. Keviczky
55th IEEE Conference on Decision and Control, Las Vegas, Nevada, December 1214, 2016.[C61] Constrained LQR Using Online Decomposition Techniques
L. Ferranti, G. Stathopoulos, C. N. Jones and T. Keviczky
55th IEEE Conference on Decision and Control, Las Vegas, Nevada, December 1214, 2016.[C60] Asynchronous Splitting Design for Model Predictive Control
L. Ferranti, Y. Pu, C. N. Jones and T. Keviczky
55th IEEE Conference on Decision and Control, Las Vegas, Nevada, December 1214, 2016.[C59] A controloriented model for combined building climate comfort and aquifer thermal energy storage system
V. Rostampour, M. Bloemendal, M. JaxaRozen and T. Keviczky
European Geothermal Congress (EGC), Strasbourg, September 1924, 2016.[C58] Chance Constrained Model Predictive Controller Synthesis for Stochastic MaxPlus Linear Systems
V. Rostampour, D. Adzkiya, S. E. Z. Soudjani, B. De Schutter and T. Keviczky
IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, October 912, 2016.[C57] Implementation of realtime moving horizon estimation for robust air data sensor fault diagnosis in the RECONFIGURE benchmark
Y. Wan and T. Keviczky
20th IFAC Symposium on Automatic Control in Aerospace (ACA), Sherbrooke, Quebec, Canada, 2125 August, 2016.[C56] Robust Randomized Model Predictive Control for Energy Balance in Smart Thermal Grids
V. Rostampour and T. Keviczky
European Control Conference, Aalborg, Denmark, June 29  July 1, 2016, pp. 12011208.[C55] Robust Model Predictive Control for an Uncertain Smart Thermal Grid
S. S. Farahani, Z. Lukszo, T. Keviczky, B. De Schutter, R. M. Murray
European Control Conference, Aalborg, Denmark, June 29  July 1, 2016, pp. 11951200.[C54] MPC Design for the Longitudinal Motion of a Passenger Aircraft Based on OperatorSplitting and FastGradient Methods
L. Ferranti and T. Keviczky
European Control Conference, Aalborg, Denmark, June 29  July 1, 2016, pp. 15621567.[C53] Regressionbased Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation
O. Sondermeijer, R. Dobbe, D. Arnold, C. Tomlin and T. Keviczky
IEEE PES General Meeting, Boston, Massachusetts, July 1721, 2016.[C52] A Distributed Approach for Solving Wavefront Reconstruction Problems
J. L. Silva, T. Keviczky and M. Verhaegen
American Control Conference, Boston, Massachusetts, July 68, 2016.[C51] Robust Air Data Sensor Fault Diagnosis With Enhanced Fault Sensitivity using Moving Horizon Estimation
Y. Wan, T. Keviczky and M. Verhaegen
American Control Conference, Boston, Massachusetts, July 68, 2016.[C50] A Parallel Dual Fast Gradient Method for MPC Applications
L. Ferranti and T. Keviczky
54th IEEE Conference on Decision and Control, Osaka, Japan, December 1518, 2015, pp. 24062413.[C49] Stochastic Nonlinear Model Predictive Control of an Uncertain Batch Polymerization Reactor
V. Rostampour, P. M. Esfahani and T. Keviczky
5th IFAC Conference on Nonlinear Model Predictive Control (NMPC’15), Seville, Spain, September 1720, 2015, pp. 541546.[C48] Predictive Flight Control with Active Diagnosis and Reconfiguration for Actuator Jamming
L. Ferranti, Y. Wan and T. Keviczky
5th IFAC Conference on Nonlinear Model Predictive Control (NMPC’15), Seville, Spain, September 1720, 2015, pp. 166171.[C47] RealTime NMPC for SemiAutomated Highway Driving of Long Heavy Vehicle Combinations
N. van Duijkeren, T. Keviczky, P. Nilsson, L. Laine
5th IFAC Conference on Nonlinear Model Predictive Control (NMPC’15), Seville, Spain, September 1720, 2015, pp. 3946.[C46] Datadriven sensor fault estimation filter design with guaranteed stability
Y. Wan, T. Keviczky and M. Verhaegen
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS�15), September 24, 2015, Paris, France, pp. 982987.[C45] Fault Detection and Isolation for Air Data Sensors Using RealTime Moving Horizon Estimation
Y. Wan and T. Keviczky
AIAA Guidance, Navigation, and Control Conference, AIAA SciTech, Kissimmee, Florida, January 59, 2015, pp. 113, DOI: 10.2514/6.20151083.[C44] Moving horizon leastsquares input estimation for linear discretetime stochastic systems
Y. Wan, T. Keviczky, M. Verhaegen
19th IFAC World Congress, Cape Town, South Africa, August 2429, 2014, pp. 34833488.[C43] Computing Optimal Control Laws for Finite Stochastic Systems with NonClassical Information Patterns
C. A. Uribe, T. Keviczky, J. H. van Schuppen
American Control Conference, Portland, Oregon, June 46, 2014, pp. 57425747.[C42] Linear model predictive control based on approximate optimal control inputs and constraint tightening
I. Necoara, V. Nedelcu, T. Keviczky, M. D. Doan and B. De Schutter
52nd IEEE Conference on Decision and Control, Florence, Italy, December 1013, 2013, pp. 77287733.[C41] Complete Field Coverage as a MultiVehicle Routing Problem
M. Burger, M. Huiskamp and T. Keviczky
4th IFAC Conference on Modelling and Control in Agriculture, Horticulture and Post Harvest Industry, Espoo, Finland, August 2730, 2013, pp. 97102.[C40] A hierarchical timesplitting approach for solving finitetime optimal control problems
G. Stathopoulos, T. Keviczky and Y. Wang
European Control Conference, Zurich, Switzerland, July 1719, 2013, pp. 30893094.[C39] Adapting Particle Filter Algorithms to ManyCore Architectures
M. Chitchian, A. S. van Amesfoort, A. Simonetto, T. Keviczky and H. J. Sips
27th IEEE International Symposium on Parallel and Distributed Processing, Boston, Massachusetts, May 2024, 2013, pp. 427438.[C38] A Regularized SaddlePoint Algorithm for Networked Optimization with Resource Allocation Constraints
A. Simonetto, T. Keviczky and M. Johansson
51st IEEE Conference on Decision and Control, Maui, Hawaii, December 1013, 2012, pp. 74767481.[C37] Distributed Solution for a Maximum Variance Unfolding Problem with Sensor and Robotic Network Applications
A. Simonetto, T. Keviczky, and D. V. Dimarogonas
50th Allerton Conference, Monticello, Illinois, October 15, 2012, pp. 6370.[C36] Application of Distributed and Hierarchical Model Predictive Control in Hydro Power Valleys
M. D. Doan, T. Keviczky and B. De Schutter
4th IFAC Conference on Nonlinear Model Predictive Control (NMPC’12), Noordwijkerhout, The Netherlands, August 2327, 2012, pp. 375383.[C35] Benchmarking the operation of a hydro power network through the application of agentbased model predictive controllers
J. M. Maestre, M. D. Doan, D. Muñoz de la Peña, P. J. van Overloop, T. Keviczky, M. A. Ridao and B. De Schutter
10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, July 1418, 2012.[C34] A Distributed OptimizationBased Approach for Hierarchical MPC of LargeScale Systems with Coupled Dynamics and Constraints
M. D. Doan, T. Keviczky and B. De Schutter
50th IEEE Conference on Decision and Control, and European Control Conference, Orlando, Florida, December 1215, 2011, pp. 52365241.[C33] Distributed MultiTarget Tracking Via Mobile Robotic Networks: A Localized NonIterative SDP Approach
A. Simonetto and T. Keviczky
50th IEEE Conference on Decision and Control, and European Control Conference, Orlando, Florida, December 1215, 2011, pp. 42264231.[C32] MultiRobot Path Following with Visual Connectivity
M. Lindhé, T. Keviczky and K. H. Johansson
Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 69, 2011, pp. 14661471.[C31] A Dual DecompositionBased Optimization Method with Guaranteed Primal Feasibility for Hierarchical MPC Problems
M. D. Doan, T. Keviczky and B. De Schutter
18th IFAC World Congress, Milano, Italy, August 29  September 2, 2011, pp. 392397.[C30] A Distributed Moving Horizon Estimator for Mobile Robot Localization Problems
A. Simonetto, D. Balzaretti and T. Keviczky
18th IFAC World Congress, Milano, Italy, August 29  September 2, 2011, pp. 89028907.[C29] On Distributed Maximization of Algebraic Connectivity in Robotic Networks
A. Simonetto, T. Keviczky and R. Babuška
American Control Conference, San Francisco, California, June 29  July 3, 2011, pp. 21802185.[C28] Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach
A. Simonetto, T. Keviczky and R. Babuška
10th International Symposium on Distributed Autonomous Robotics Systems (DARS’10), Lausanne, Switzerland, November 310, 2010.[C27] An Improved Distributed Version of Han's Method for Distributed MPC of Canal Systems
M. D. Doan, T. Keviczky and B. De Schutter
12th Symposium on Large Scale Systems: Theory and Applications, Villeneuve d'Ascq, France, July 1114, 2010.[C26] Distributed Nonlinear Estimation for Robot Localization using Weighted Consensus
A. Simonetto, T. Keviczky and R. Babuška
IEEE International Conference on Robotics and Automation, Anchorage, Alaska, May 38, 2010, pp. 30263031.[C25] Recent Developments in Distributed Particle Filtering: Towards Fast and Accurate Algorithms
A. Simonetto and T. Keviczky
1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys), Venice, Italy, September 2426, 2009, pp. 138143.[C24] A Distributed Version of Han's Method for DMPC of Dynamically Coupled Systems with Coupled Constraints
D. Doan, T. Keviczky, I. Necoara, M. Diehl and B. De Schutter
1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys), Venice, Italy, September 2426, 2009, pp. 240245.[C23] Subgradient Methods and Consensus Algorithms for Solving Convex Optimization Problems
B. Johansson, T. Keviczky, M. Johansson and K. H. Johansson
47th IEEE Conference on Decision and Control, Cancun, Mexico, December 911, 2008, pp. 41854190.[C22] A Study on Distributed Model Predictive Consensus
T. Keviczky and K. H. Johansson
17th IFAC World Congress, Seoul, Korea, July 611, 2008, pp. 15161521.[C21] Distributed Control of Space Systems Using a Decomposition Method and Linear Matrix Inequalities
P. Massioni, E. Gill, T. Keviczky and M. Verhaegen
New Trends in Astrodynamics and Applications V (ASTROCON), Milano, Italy, June 30  July 2, 2008.[C20] New Approaches to Distributed Control of Satellite Formation Flying
P. Massioni, T. Keviczky and M. Verhaegen
3rd International Symposium on Formation Flying, Missions and Technologies, ESA/ESTEC, Noordwijk, The Netherlands, April 2325, 2008.[C19] Distributed LQR Design for Dynamically Decoupled Systems
F. Borrelli and T. Keviczky
45th IEEE Conference on Decision and Control, San Diego, California, December 1315, 2006, pp. 56395644.[C18] Coordinated Autonomous Vehicle Formations: Decentralization, Control Synthesis and Optimization
T. Keviczky, K. Fregene, F. Borrelli, G. J. Balas and D. Godbole
American Control Conference, Minneapolis, Minnesota, June 1416, 2006, pp. 20222027.[C17] Hybrid Decentralized Receding Horizon Control of Vehicle Formations
T. Keviczky, B. Vanek, F. Borrelli and G. J. Balas
American Control Conference, Minneapolis, Minnesota, June 1416, 2006, pp. 33583363.[C16] Predictive Control Approach to Autonomous Vehicle Steering
T. Keviczky, P. Falcone, F. Borrelli, J. Asgari and D. Hrovat
American Control Conference, Minneapolis, Minnesota, June 1416, 2006, pp. 46704675.[C15] Dynamic Inversion Based Flight Control for Autonomous RMAX Helicopter
D. F. Enns and T. Keviczky
American Control Conference, Minneapolis, Minnesota, June 1416, 2006, pp. 39163923.[C14] Stability analysis of decentralized RHC for decoupled systems
T. Keviczky, F. Borrelli and G. J. Balas
44th IEEE Conference on Decision and Control, and European Control Conference, Seville, Spain, December 1215, 2005, pp. 16891694.[C13] Application Programming Interface for RealTime Receding Horizon Control
T. Keviczky, A. Packard, O. R. Natale and G. J. Balas
44th IEEE Conference on Decision and Control, and European Control Conference, Seville, Spain, December 1215, 2005, pp. 13311336.[C12] Decentralized Constrained Optimal Control Approach to Distributed Paper Machine Control
F. Borrelli, T. Keviczky and G. E. Stewart
44th IEEE Conference on Decision and Control, and European Control Conference, Seville, Spain, December 1215, 2005, pp. 30373042.[C11] Decentralized Control of Cooperative Vehicle Formations
F. Borrelli, T. Keviczky, K. C. Fregene and G. J. Balas
tutorial paper at 44th IEEE Conference on Decision and Control, and European Control Conference, Seville, Spain, December 1215, 2005, pp. 39553960.[C10] SoftwareEnabled Receding Horizon Control for Autonomous UAV Guidance
T. Keviczky and G. J. Balas
AIAA Guidance, Navigation and Control Conference, San Francisco, California, August 1518, 2005, AIAA 20055863.[C9] Fault Detection Design for Uninhabited Aerial Vehicles
R. Ingvalson, H. P. Rotstein, T. Keviczky and G. J. Balas
AIAA Guidance, Navigation and Control Conference, San Francisco, California, August 1518, 2005, AIAA20056251.[C8] InputDependent Threshold Function for an Actuator Fault Detection Filter
H. P. Rotstein, R. Ingvalson, T. Keviczky and G. J. Balas
16th IFAC World Congress, Prague, Czech Republic, July 48, 2005.[C7] Flight Test of a Receding Horizon Controller for Autonomous UAV Guidance
T. Keviczky and G. J. Balas
American Control Conference, Portland, Oregon, June 810, 2005, pp. 35183523.[C6] Hierarchical design of decentralized receding horizon controllers for decoupled systems
T. Keviczky, F. Borrelli and G. J. Balas
IEEE Conference on Decision and Control, Paradise Island, Bahamas, December 1417, 2004, pp. 15921597.[C5] Collisionfree UAV formation flight using decentralized optimization and invariant sets
F. Borrelli, T. Keviczky and G. J. Balas
IEEE Conference on Decision and Control, Paradise Island, Bahamas, December 1417, 2004, pp. 10991104.[C4] A study on decentralized receding horizon control for decoupled systems
T. Keviczky, F. Borrelli and G. J. Balas
American Control Conference, Boston, Massachusetts, June 30  July 2, 2004, pp.49214926.[C3] Receding horizon control of an F16 aircraft: a comparative study
T. Keviczky and G. J. Balas
European Control Conference, Cambridge, United Kingdom, September 14, 2003.[C2] Software enabled flight control using receding horizon techniques
T. Keviczky and G. J. Balas
AIAA Guidance, Navigation, and Control Conference, Austin, Texas, August 1113, 2003, AIAA20035671.[C1] Subspacebased Multivariable Identification and Robust Control of the MIT SERC Interferometer Testbed
T. Keviczky and B. Lantos
18th IEEE Instrumentation and Measurement Technology Conference, Budapest, Hungary, May 2123, 2001, pp. 2025. 
[TR3] Optimal Control for Large Scale Systems via Parametric Programming
P. Falcone, F. Borrelli and T. Keviczky
Technical Report TR163 Dipartimento di Ingegneria, Università degli Studi del Sannio, Benevento, Italy, 2005.[TR2] Application Programming Interface for RealTime Receding Horizon Control
T. Keviczky, G. J. Balas, A. Packard and O. R. Natale
Technical Report Department of Aerospace Engineering and Mechanics. University of Minnesota, Minneapolis. Department of Mechanical Engineering. University of California, Berkeley. November, 2005.[TR1] An Integrated MultiLayer Approach to Software Enabled Control: Mission Planning to Vehicle Control
T. Keviczky, R. Ingvalson, H. P. Rotstein, A. Packard, O. R. Natale and G. J. Balas
Technical Report Department of Aerospace Engineering and Mechanics. University of Minnesota, Minneapolis. Department of Mechanical Engineering. University of California, Berkeley. November, 2004. 
[T2] Decentralized Receding Horizon Control of Large Scale Dynamically Decoupled System
T. Keviczky
PhD Thesis, Control Science and Dynamical Systems Center, University of Minnesota, September 2005.[T1] Subspacebased Identification and Robust Control of Multivariable Systems
T. Keviczky
MSc Thesis (in Hungarian), Budapest University of Technology and Economics, June 2001.