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This work describes a clustering-based system to enhance user authentication by applying fuzzy techniques to biometric data in order to deter password sharing. Fuzzy c-means is used to train personal, per-keyboard profiles based on the keystroke dynamics of users when entering passwords on a keyboard. These profiles use DES encryption taking the actual(More)
—In this paper, we present a semiglobal asymptotic stability analysis via Lyapunov theory for a new proportional-integral-derivative (PID) controller control scheme, proposed in this work, which is based on a fuzzy system for tuning the PID gains for robot manipulators. PID controller is a well-known set point control strategy for industrial manipulators(More)
—In this paper we present a fuzzy self-tuning algorithm to select the Proportional, Integral and Derivative gains of a PID controller according to the actual state of a robotic manipulator. The stability via Lyapunov theory for the closed loop control system is also analyzed and shown that is locally asymptotically stable for a class of gain matrices(More)
We propose the use of a Fuzzy Naive Bayes classifier with a MAP rule as a decision making module for the RoboCup Soccer Simulation 3D domain. The Naive Bayes classifier has proven to be effective in a wide range of applications, in spite of the fact that the conditional independence assumption is not met in most cases. In the Naive Bayes classifier, each(More)
Developing an infrastructure for efficiently coordinating a group of autonomous robots has become a challenging need in robotics community. In recent years, the use of teams of coordinated mobile robots has been explored in several application fields such as military, exploration, surveillance, and search and rescue missions. For such fields, the use of(More)
When working with mobile robots, a typical task consists in developing simulated tests before going towards the real implementations. Nevertheless, this simulation stage may be very time consuming for setting-up environments and robots. Also, after demonstrating that things worked well in the simulated environment, implementing algorithms in the real robots(More)