R
Robert Babuska
Researcher at Delft University of Technology
Publications - 381
Citations - 17611
Robert Babuska is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Fuzzy logic & Reinforcement learning. The author has an hindex of 56, co-authored 371 publications receiving 15388 citations. Previous affiliations of Robert Babuska include Carnegie Mellon University & Czech Technical University in Prague.
Papers
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Proceedings ArticleDOI
Learning state representation for deep actor-critic control
TL;DR: A new algorithm, Model Learning Deep Deterministic Policy Gradient (ML-DDPG), is proposed that combines RL with state representation learning, i.e., learning a mapping from an input vector to a state before solving the RL task.
Journal ArticleDOI
Fuzzy modeling with multivariate membership functions: gray-box identification and control design
TL;DR: A novel framework for fuzzy modeling and model-based control design is described, which uses multivariate antecedent membership functions obtained by Delaunay triangulation of their characteristic points to estimate the consequent parameters.
Journal ArticleDOI
Stability of Cascaded Fuzzy Systems and Observers
TL;DR: The results show that the distributed observer achieves the same performance as the centralized one, while leading to increased modularity, reduced complexity, lower computational costs, and easier tuning.
Proceedings ArticleDOI
Virtual sensor for fault detection and isolation in flight control systems - fuzzy modeling approach
M. Oosterom,Robert Babuska +1 more
TL;DR: A virtual sensor for normal acceleration has been developed and implemented in the flight control system of a small commercial aircraft using a fuzzy model of the Takagi-Sugeno type identified from simulated data, using a detailed, realistic Matlab/Simulink/sup TM/ model used by the aircraft manufacturer.
BookDOI
Fuzzy algorithms for control
TL;DR: Fuzzy Logic Applications in Mobile Robotics A. Ollero, et al., and Intelligent Data Analysis and Fuzzy Control H.-J.