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This paper presents the development and design of a methodology based on fuzzy logic to control an indoor mobile robot for a complete navigation in an unknown environment. The methodology incorporates two basic behaviors, namely: reaching the goal and avoiding obstacles. The obstacle avoidance behavior is treated using wall-following scheme based on an Interval Type-2…

In this article, we give a brief overview of future trends and corresponding stakeholder requests regarding the design of automotive electric and electronic (e/e)-architectures. While today’s optimization is mainly based on the static design criteria of unit costs and weight, three dynamic design criteria are considered decisive factors in the future: voltage stability, vehicle energy…

Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…