Biologically Inspired Fault-Tolerant Computer Systems

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Biologically Inspired Reconfigurable Hardware for Dependable Applications

Practical experience has demonstrated that the goal of building fault-free systems, although attractive, is impossible to achieve. Hardware deteriorates with time, and software has become so complex that design faults are difficult, if not impossible, to avoid. Hence, the more viable alternative for applications requiring high levels of dependability is to implement systems capable of toleratin...

Unspecified towards Immune Inspired Fault Tolerance in Embedded Systems

The immune system is a remarkable natural system that is proving to be of great inspiration to computer scientists and engineers alike. This paper discusses the role that the immune system can play in the development of fault tolerant embedded systems. Initial work in the area has highlighted the use of the immune process of negative selection, and more importantly the concept of self/nonself d...