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Introduction to neural networks for instrumentation, measurement, and industrial applications
Design of fault-tolerant distributed control systems
Real-time control systems, involving continuous measuring and monitoring of physical quantities, need often to take into account fault-tolerance capabilities to guarantee a correct behavior (even in the presence of a given amount of hardware faults and software errors) or, at least, to provide gracefully degradable performances. In this paper, hardware dimensioning, the optimum allocation of the computation, and the fault-tolerance issues are afforded contemporaneously, with specific attention to the design of dedicated distributed control systems. A single optimization frame is defined to identify a globally optimum solution with respect to these conflicting goals
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