This work presents a methodology for the design of an intelligent supervisory system that combines the principles of fuzzy logic, the Internal Model Control (IMC) architecture and the paradigm of Multi-Agent Systems (MAS). The methodology has been conceived to be applied in an intelligent supervisory system, specifically for two kinds of complex petroleum industrial processes: the gas-oil separ...

The multiple linear models based piece-wise linearization approach is used to obtain control-oriented non-linear model of the non-linear multivariable wet grinding process of an industrial lead-zinc ore beneficiation plant. The overall process outputs are computed as a weighted sum of outputs from multiple models identified at several operating zones. The output weights of linear models are com...

This paper undertakes the synthesis of a logic-based switching H2/H∞ state-feedback controller for continuous-time LTI singular perturbation systems. Our solution achieves a minimum bound on the H2 performance level, while also satisfying the H∞ performance requirements. The proposed hybrid control scheme is based on a fuzzy supervisor managing the combination of two controllers. A convex LMI-B...

The contributions of this thesis are in the two main areas of the estimation and optimization of the software for embedded systems.

ADAS are being developed with many goals: communications, road mark detection, road sign recognition or pedestrian detection. The work presented here is a system that communicates with a GPS, obtains speed data and uses this information in a Real Time Computer Vision System that detects and recognizes road signs, warning the driver in the case of excessive speed when the recognized road sign is...

Existing studies on writing for publication have focused doctoral students and junior scholars, leaving those non-native English-speaking (NNES) Master’s understudied. This article presents a case study of the challenges coping strategies shared by six purposively selected NNES students, who each successfully published in an international academic journal with their supervisor. Semi-structured ...

In semisupervised fuzzy clustering, this article extends the traditional pairwise constraint (i.e., must-link or cannot-link) to constraint. The allows a supervisor provide grade of similarity dissimilarity between implicit vectors pair samples. This can represent more complicated relationship samples and avoid eliminating characteristics. Then, we propose clustering with constraints (SSFPC). n...