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gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ...
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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In: Symmetry; Volume 14; Issue 2; Pages: 202 (2022)
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Limites no emprego dos sistemas aéreos autónomos à luz do direito internacional humanitário
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Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics
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Verification of Program Transformations with Inductive Refinement Types
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In: ISSN: 1049-331X ; ACM Transactions on Software Engineering and Methodology ; https://hal.inria.fr/hal-03518825 ; ACM Transactions on Software Engineering and Methodology, Association for Computing Machinery, 2021, 30 (1), pp.1-33. ⟨10.1145/3409805⟩ (2021)
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Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making ...
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Evolution of human computer interaction
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In: Sci. Visualization ; Scientific Visualization (2021)
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Place perception from the fusion of different image representation
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In: Li, P, Li, X, Li, X, Pan, H, Khyam, MO, Noor-A-Rahim, M, Ge, SS, (2020). Place perception from the fusion of different image representation. Pattern Recognition, Vol. 110, p. 1-11 http://dx.doi.org/10.1016/j.patcog.2020.107680 (2020)
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Искусственный интеллект в задачах распознавания динамических жестов ... : Artificial Intelligence in Recognition of Dynamic Gestures ...
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Chance-Constrained Control with Lexicographic Deep Reinforcement Learning ...
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Constraining Counterexamples in Hybrid System Falsification: Penalty-Based Approaches ...
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A Framework for Current-State Opacity under Dynamic Information Release Mechanism ...
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Design and Development of a New Control System for Improving Energy Efficiency and Demand Response
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Fuzzy Control Systems: Past, Present and Future
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In: ISSN: 1556-603X ; IEEE Computational Intelligence Magazine ; https://hal-uphf.archives-ouvertes.fr/hal-03644439 ; IEEE Computational Intelligence Magazine, Institute of Electrical and Electronics Engineers, 2019, 14 (1), pp.56-68. ⟨10.1109/MCI.2018.2881644⟩ (2019)
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Abstract:
[IF=6.611] ; International audience ; More than 40 years after fuzzy logic control appeared as an effective tool to deal with complex processes, the research on fuzzy control systems has constantly evolved. Mamdani fuzzy control was originally introduced as a model-free control approach based on expert?s experience and knowledge. Due to the lack of a systematic framework to study Mamdani fuzzy systems, we have witnessed growing interest in fuzzy model-based approaches with Takagi-Sugeno fuzzy systems and singleton-type fuzzy systems (also called piecewise multiaffine systems) over the past decades. This paper reviews the key features of the three above types of fuzzy systems. Through these features, we point out the historical rationale for each type of fuzzy systems and its current research mainstreams. However, the focus is put on fuzzy model-based approaches developed via Lyapunov stability theorem and linear matrix inequality (LMI) formulations. Finally, our personal viewpoint on the perspectives and challenges of the future fuzzy control research is discussed.
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Keyword:
[SPI.AUTO]Engineering Sciences [physics]/Automatic; Analytical models; Fuzzy control; Fuzzy logic; Fuzzy systems; Linguistics; Lotfi; Nonlinear systems; Stability analysis; Zadeh
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URL: https://hal-uphf.archives-ouvertes.fr/hal-03644439 https://doi.org/10.1109/MCI.2018.2881644
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EFFICIENT FUZZY IDENTIFICATION BASED ON INFERENCE ERROR ...
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EFFICIENT FUZZY IDENTIFICATION BASED ON INFERENCE ERROR ...
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The Need to Reconcile Concepts that Characterize Systems Withstanding Threats ...
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Global Aviation System: Towards Sustainable Development
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In: International Journal of Aviation, Aeronautics, and Aerospace (2019)
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