Control-Quality Optimization for Distributed Embedded Systems With Adaptive Fault Tolerance

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Provided by: Linkoping University
Topic: Hardware
Format: PDF
In this paper, the authors propose a design framework for distributed embedded control systems that ensures reliable execution and high quality of control even if some computation nodes fail. When a node fails, the configuration of the underlying distributed system changes and the system must adapt to this new situation by activating tasks at operational nodes. The task mapping as well as schedules and control laws that are customized for the new configuration influence the control quality and must, therefore, be optimized.
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