Genetic operators for the constrained framework. A fault-tolerant control system is a controlled system with the capability to continue operating acceptably to fulfil specified functions following faults in the system being controlled or in the controller. A fault-tolerant control system is designed to retain some portion of its control integrity in the event of a specified set of possible component faults or large changes in the system operating conditions that resemble these faults. This can only be done if the control system has built in an element of automatic reconfiguration, once a malfunction has been detected and isolated. Fault diagnosis play an important role in the fault-tolerant control, as before any control law reconfiguration is possible the fault must be reliably detected, isolated, and the information should be passed to a supervision mechanism to make a proper decision.
Fault tolerance is considered as one of the characteristics of intelligent systems.
Data Networks Neural networks have been proposed as a new computational tool for solving constrained optimisation problems. In this area of research the topic being investigated is the feasibility of application of Hopfield neural networks to routing in QoS Networks. Back to Top Robotics Robot Learning and Path Planning using Neural Networks. The mobile navigation of robots is a complex task which needs the workspace for correct trajectory planning. Learning is essential for accomplishing the intelligent navigation of the robot.