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1. Diagrammatic reasoning for planning and intelligent control / Résonnement Schématique pour la Plannification et la Commande Intelligente

2. Étude de l’inclusion de la détection des activités humaines dans une cellule de travail hybride dédiée à la commande intelligente de robots via ROS en utilisant un réseau de capteurs portables sans fil

4. A review on computational intelligence methods for controlling traffic signal timing

5. Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems

6. Robust adaptive neural sliding mode control of MEMS triaxial gyroscope with angular velocity estimation

7. Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

8. Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics

9. On iterative learning algorithms for the formation control of nonlinear multi-agent systems

10. Novel Neural Control for a Class of Uncertain Pure-Feedback Systems

11. Modular Simulation-Based Physical and Emotional Assessment of Ambient Intelligence in Traffic

12. Modeling indoor lighting inspection robot behavior using Concurrent Communicating Lists : Intelligent Systems in Construction

13. Learning control in spatial coordinates for the path-following of autonomous vehicles

14. Intelligent control system design for UAV using a recurrent wavelet neural network

15. IEC 61850 Model Expansion Toward Distributed Fault Localization, Isolation, and Supply Restoration

16. Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems

17. Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk

18. Verification of a simplified method for intelligent glazed façade design under different control strategies in a full-scale façade test facility - Preliminary results of a south facing single zone experiment for a limited summer period

19. Predicting household occupancy for smart heating control: A comparative performance analysis of state-of-the-art approaches

20. Design of an amplitude-bounded output feedback adaptive neural control with guaranteed componentwise performance

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