Research interests

Nonlinear modeling and identification

Nonlinear and predictive control

Adaptive and learning control

Applications

Selected publications

Research monographs

·        L. Busoniu, R. Babuška, Bart De Schutter, and Damien Ernst. Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC Press, Boca Raton, Florida, 2010.

·        Zs. Lendek, T. M. Guerra, R. Babuška, and B. De Schutter. Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, volume 262 of Studies in Fuzziness and Soft Computing. Springer, 2010.

·        R. Babuška. Fuzzy Modeling for Control. Kluwer Academic Publishers, 1998.

Journal articles

Adaptive, optimal and learning control

·        S. Adam, L. Busoniu, and R. Babuška. Experience replay for real-time reinforcement learning control. IEEE Transactions on Systems, Man, and Cybernetics. Part C: Applications and Reviews, 42(2):201–212, 2012.

·        L. Busoniu, D. Ernst, B. De Schutter, and R. Babuška. Cross-entropy optimization of control policies with adaptive basis functions. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 41(1):196–209, 2011.

·        Lucian Busoniu, Bart De Schutter, Robert Babuška, and Damien Ernst. Exploiting policy knowledge in online least-squares policy iteration: An empirical study. Automation, Computers, Applied Mathematics, 19(4):521–529, 2010.

·        Cara, H. Pomares, I. Rojas, Zs. Lendek, and R. Babuška. Online self-evolving fuzzy controller with global learning capabilities. Evolving Systems, 1:225–239, 2010.

·        L. Busoniu, D. Ernst, R. Babuška, and B. De Schutter. Approximate dynamic programming with a fuzzy parameterization. Automatica, 46(5):804–814, 2010.

·        J. M. van Ast, R. Babuška, and B. De Schutter. Novel ant colony optimization approach to optimal control. International Journal of Intelligent Computing and Cybernetics, 2(3):414–434, 2009.

·        Lucian Busoniu, Robert Babuška, and Bart De Schutter. A comprehensive survey of multi-agent reinforcement learning. IEEE Transactions on Systems, Man, and Cybernetics. Part C: Applications and Reviews, 38(2):156–172, 2008.

·        D. Bellomo, D. Naso, and R. Babuška. Adaptive fuzzy control of a non-linear servo-drive: theory and experimental results. Engineering Applications of Artificial Intelligence, 21(6):846–857, 2008.

·        X. Meng, R. Babuška, Y. Chen, and L. Busoniu. Multiagent reinforcement learning algorithm research based on non-Markov environment. International Journal of Information Technology, 12(6):60–68, 2006.

 

Nonlinear and adaptive state estimation

 

·        Zs. Lendek, R. Babuška, and B. De Schutter. Sequential stability analysis and observer design for distributed TS fuzzy systems. Fuzzy Sets and Systems, 174(1):1–30, 2011.

·        Zs. Lendek, J. Lauber, T.-M. Guerra, R. Babuška, and B. De Schutter. Adaptive observers for TS fuzzy systems with unknown polynomial inputs. Fuzzy Sets and Systems, 161(15):2043–2065, 2010.

·        Zs. Lendek, R. Babuška, and B. De Schutter. Stability bounds for fuzzy estimation and control. Journal of Control Engineering and Applied Informatics, 12(3):3–12, 2010.

·        Zs. Lendek, R. Babuška, and B. De Schutter. Stability of cascaded fuzzy systems and observers. IEEE Transactions on Fuzzy Systems, 17(3):641–653, 2009.

·        Zs. Lendek, R. Babuška, and B. De Schutter. Distributed Kalman filtering for cascaded systems. Engineering Applications of Artificial Intelligence, 21(3), 2008.

 

 

Nonlinear and predictive control

 

·        Sala, T.M. Guerra, and R. Babuška. Perspectives of fuzzy systems and control. Fuzzy Sets and Systems, 156(3):432–444, 2005.

·        S. Mollov, R. Babuška, J. Abonyi, and H.B. Verbruggen. Effective optimization for fuzzy model predictive control. IEEE Transactions on Fuzzy Systems, 12(5):661–675, 2004.

·        P. Korba, R. Babuška, H.B. Verbruggen, and P.M. Frank. Fuzzy gain scheduling: Controller and observer design based on Lyapunov method and convex optimization. IEEE Transactions on Fuzzy Systems, 11(3):285–298, 2003.

·        S. Mollov, T.J.J. van den Boom, F. Cuesta, A. Ollero, and R. Babuška. Robust stability constraints for fuzzy model predictive control. IEEE Transactions on fuzzy systems, 10(1):50–64, 2002.

·        C. Onnen, R. Babuška, U. Kaymak, J.M. Sousa, H.B. Verbruggen, and R. Isermann. Genetic algorithms for optimization in predictive control. Control Engineering Practice, 5(10):1363–1372, 1997.

 

Modeling and identification of nonlinear systems

 

·        K. Maertens, J. De Baerdemaeker, and R. Babuška. Genetic polynomial regression as input selection algorithm for non-linear identification. Soft Computing, 10(9):785–795, 2006.

·        K. Maertens, R. Babuška, and J. De Baerdemaeker. Evolutionary input selection for the non-linear identification of complex processes. Computers and Electronics in Agriculture, 49(3):441–451, 2005.

·        R. Šindelář and R. Babuška. Input selection for nonlinear regression models. IEEE Transactions on Fuzzy Systems, 12(5):688–696, 2004.

·        R. Babuška and H. Verbruggen. Neuro-fuzzy methods for nonlinear system identification. Annual Reviews in Control, 27(1):73–85, 2003.

·        H. Roubos and R. Babuška. Comments on the benchmarks in “A proposal for improving the accuracy of linguistic modeling” and related articles. IEEE Transactions on Fuzzy Systems, 11(6):861–865, 2003.

·        T.A. Johansen and R. Babuška. Multi-objective identification of Takagi–Sugeno fuzzy models. IEEE Transactions on Fuzzy Systems, 11(6):847–860, 2003.

·        R. Babuška and H.B. Verbruggen. An overview of fuzzy modeling for control. Control Engineering Practice, 4(11):1593–1606, 1996.

·        J. Abonyi, R. Babuška, and F. Szeifert. Modified Gath–Geva fuzzy clustering for identification of Takagi–Sugeno fuzzy models. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 32(5):612–621, 2002.

·        M. Setnes and R. Babuška. Rule base reduction: some comments on the use of orthogonal transforms. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 31(2):199–206, 2001.

·        J. Abonyi, R. Babuška, H.B. Verbruggen, and F. Szeifert. Incorporating prior knowledge in fuzzy model identification. International Journal of Systems Science, 31(5):657–667, 2000.

·        J. Abonyi, R. Babuška, M. Ayala Botto, F. Szeifert, and L. Nagy. Identification and control of nonlinear systems using fuzzy Hammerstein models. Industrial and Engineering Chemistry Research, 39(11):4302–4314, 2000.

·        O. Nelles, A. Fink, R. Babuška, and M. Setnes. Comparison of two construction algorithms for Takagi–Sugeno fuzzy models. International Journal of Applied Mathematics and Computer Science, 10(4):835–855, 2000.

·        M. Setnes and R. Babuška. Fuzzy relational classifier trained by fuzzy clustering. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 29(5):619–625, 1999.

·        J.A. Roubos, S. Mollov, R. Babuška, and H.B. Verbruggen. Fuzzy model based predictive control by using Takagi-Sugeno fuzzy models. International Journal of Approximate Reasoning, 22(1/2):3–30, 1999.

·        M. Setnes, R. Babuška, and H.B. Verbruggen. Rule-based modeling: Precision and transparency. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 28(1):165–169, 1998.

·        M. Setnes, R. Babuška, U. Kaymak, and H.R. van Nauta Lemke. Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man and Cybernetics, 28(3):376–386, 1998.

·        P. Baranyi, I.M. Bavelaar, R. Babuška, L.T. Kóczy, A. Titli, and H.B. Verbruggen. A method to invert a linguistic fuzzy model. International Journal of Systems Science, 29(7):711–721, 1998.

·        M. Setnes, R. Babuška, and H.B. Verbruggen. Transparent fuzzy modeling: Data exploration and fuzzy sets aggregation. International Journal of Human Computer Studies, 49(2):159–179, 1998.

·        M. Setnes, R. Babuška, and H.B. Verbruggen. Complexity reduction in fuzzy modeling. IMACS Journal Mathematics and Computers in Simulation, 46:507–516, 1998.

 

Applications in mechatronics and robotics

 

·        S. Wang, W. Chaovalitwongse, and R. Babuška. Machine learning algorithms in bipedal robot control. IEEE Transactions on Systems, Man, and Cybernetics. Part C: Applications and Reviews, 99:1–16, 2012.

·        A.A. Khalate, X.J.A. Bombois, R. Babuška, H.Wijshoff, and R.Waarsing. Performance improvement of a drop-on-demand inkjet printhead using an optimization-based feedforward control method. Control Engineering Practice, 19:771–781, 2011.

·        A.A. Alvarez Cabrera, M.J. Foeken, O.A. Tekin, K. Woestenenk, M.S. Erden, B. De Schutter, M.J.L. van Tooren, R. Babuška, F.J.A.M. van Houten, and T. Tomiyama. Towards automation of control software: A review of challenges in mechatronic design. Mechatronics, 20(8):876–886, 2010.

·        Breijs, B. Klaassens, and R. Babuška. Automated design environment for serial industrial manipulators. Industrial Robot: An International Journal, 32(1):32–34, 2005.

·        S. Mešić, R. Babuška, H.C. Hoogsteden, and A.F.M. Verbraak. Computer–controlled mechanical simulation of the artificially ventilated human respiratory system. IEEE Transactions on Biomedical Engineering, 50(6):731–743, 2003.

·        M.P.G.J. Besteman, C.H.L. Limpens, R. Babuška, J.B. Otten, and M. Verhaegen. Modeling and identification of a strip guidance process with internal feedback. IEEE Transactions on Control Systems Technology, 6(1):88–102, 1998.

 

Process modeling and control

 

·        Veersma K. van Schagen, L. Rietveld and R. Babuška. Control-design methodology for drinking-water treatment processes. Water science and technology: Water Supply, 10(2):121–127, 2010.

·        Zs. Lendek, R. Babuška, J. Braaksma, and C. de Keizer. Decentralized estimation of overflow losses in a hopper dredger. Control Engineering Practice, 16(4):392–406, 2008.

·        K.M. van Schagen, L.C. Rietveld, and R. Babuška. Dynamic modeling for optimization of pellet softening. Journal of Water Supply: Research and Technology–AQUA, 57(1):45–56.

·        K.M. van Schagen, L.C. Rietveld, R. Babuška, and E. Baars. Control of the fluidized bed in the pellet softening process. Chemical Engineering Science, 63(5):1390–1400, 2008.

·        K.M. van Schagen, L.C. Rietveld, R. Babuška, and O.J.I. Kramer. Model-based operational constraints for fluidized bed crystallization. Water Research, 42(1–2):327–337, 2008.

·        J. Braaksma, J.B. Klaassens, R. Babuška, and C. de Keizer. A computationally efficient model for predicting overflow mixture density in a hopper dredger. Terra et Aqua, 106(16):16–25, 2007.

·        K.M. van Schagen, R. Babuška, L.C. Rietveld, and E. Baars. Optimal flow distribution over multiple parallel pellet reactors: a model-based approach. Water Science & Technology, 53(4–5):493–501, 2006.

·        S. Mollov and R. Babuška. Analysis of interactions and multivariable fuzzy control design for a binary distillation column. International Journal of Fuzzy Systems, 6(2):53–62, 2004.

·        R. Babuška, M.R. Damen, C. Hellinga, and H. Maarleveld. Intelligent adaptive control of bioreactors. Journal of Intelligent Manufacturing, 14(2):255–265, 2003.

·        R. Babuška, J. Oosterhoff, A. Oudshoorn, and P.M. Bruijn. Fuzzy self-tuning PI control of pH in fermentation. Engineering Applications of Artificial Intelligence, 15:3–15, 2002.

·        M. Setnes and R. Babuška. Fuzzy decision support for the control of detergent production. International Journal of Adaptive Control and Signal Processing, December 2001.

·        J.A. Roubos, R. Babuška, P. Krabben, and J.J. Heijnen. Hybrid modeling of fed-batch bioprocesses: Combination of physical equations with metabolic networks and black-box kinetics. Journal A, 41(3):17–23, 2000.

·        R. Babuška, H.B. Verbruggen, and H.J.L. van Can. Fuzzy modeling of enzymatic penicillin–G conversion. Engineering Applications of Artificial Intelligence, 12(1):79–92, 1999.

·        T.J.J. Kalker, C.P. van Goor, P.J. Roeleveld, M.F. Ruland, and R. Babuška. Fuzzy control of aeration in an activated sludge wastewater treatment plant: design, simulation and evaluation. Water Science and Technology, 39(4):71–78, 1999.

·        R. Babuška, H.A.B. te Braake, A.J. Krijgsman, and H.B. Verbruggen. Comparison of intelligent control schemes for real-time pressure control. Control Engineering Practice, 4(11):1585–1592, 1996.

 

Flight and aerospace control

 

·        M. Oosterom and R. Babuška. Design of a gain-scheduling mechanism for flight control laws by fuzzy clustering. Control Engineering Practice, 14:769–781, 2006.

·        S.-F. Wu, C.J.H. Engelen, R. Babuška, Q.-P. Chu, and J.A. Mulder. Fuzzy logic based full-envelope autonomous flight control for an atmospheric re-entry spacecraft. Control Engineering Practice, 11(1):11–25, 2003.

·        M. Oosterom and R. Babuška. Soft computing applications in sensor management and flight control law reconfiguration. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 32(2):125–139, 2002.

·        S.-F. Wu, C.J.H. Engelen, Q.-P. Chu, R. Babuška, J.A. Mulder, and G. Ortega. Fuzzy logic based attitude control of the spacecraft X-38 along a nominal re-entry trajectory. Control Engineering Practice, 9(7):699–707, 2001.

·        W.M. van Buijtenen, G. Schram, R. Babuška, and H.B. Verbruggen. Adaptive fuzzy control of satellite attitude by reinforcement learning. IEEE Transactions on Fuzzy Systems, 6(2):185–194, 1998.

 

Other applications

 

·        H. Hashemi, A. Javaherian, and R. Babuška. A semi-supervised method to detect seismic random noise with fuzzy GK clustering. Journal of Geophysics and Engineering, (5):457–468, 2008.

·        Popov, A. Hegyi, R. Babuška, and H. Werner. Distributed controller design approach to dynamic speed limit control against shockwaves on freeways. Transportation Research Record, (2008):93–99.

·        K. Maertens, T.A. Johansen, and R. Babuška. Engine load prediction in off-road vehicles using multi-objective nonlinear identification. Control Engineering Practice, 12(5):615–624, 2004.

·        M.S. Lourens, L. Alic, B. van den Berg, A.F.M. Verbraak, J.M. Bogaard, H.C. Hoogsteden, and R. Babuška. Estimation of expiratory time constants via fuzzy clustering. Journal of Clinical Monitoring and Computing, 17(1):15–22, 2002.

·        R. Babuška, L. Alic, M.S. Lourens, A.F.M. Verbraak, and J. Bogaard. Estimation of respiratory parameters via fuzzy clustering. Artificial Intelligence in Medicine, 21(1–3):91–105, 2001.

·        L.G. Bakker, A.H.M. Brouwer, and R. Babuška. Integrated predictive adaptive control of heating, cooling, ventilation, daylighting and electrical lighting in buildings. International Journal of Solar Energy, 21(2–3):203–217, 2001.

·        S. Mollov, R. Babuška, and P. van der Veen. Nonlinear model based predictive control of a GDI engine. Journal A, 42(1):31–38, 2001.

·        M. Alvarez Grima and R. Babuška. Fuzzy model for the prediction of unconfined compressive strength of rock samples. International Journal of Rock Mechanics and Mining Sciences, 36(3):339–349, 1999.

·        U. Kaymak, R. Babuška, H.R. van Nauta Lemke, and G. Honderd. A fuzzy logic system for steady-state security analysis of power networks. Journal of Intelligent and Fuzzy Systems, 6:345–359, 1998.

·        J.M. Sousa, R. Babuška, and H.B. Verbruggen. Fuzzy predictive control applied to an air-conditioning system. Control Engineering Practice, 5(10):1395–1406, 1997.

·        M.H. den Hartog, R. Babuška, H.J.R. Deketh, M. Alvarez Grima, P.N.W. Verhoef, and H.B. Verbruggen. Knowledge-based fuzzy model for performance prediction of a rock-cutting trencher. International Journal of Approximate Reasoning, 16(1):43–66, 1997.

 

 


Last updated by: Robert Babuska, October 2012