Taxonomic Search: Gary Balas
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This research addresses the basic challenge of bringing high levels of reliability and integrity to other domains-domains that can afford neither the cost nor the extra power, weight, and size associated with physical redundancy. The main research focus is on the development of algorithms and computing architectures which enable the detection of fauls without relying on physical redundancy.
Peter Seiler's research is in the area of control systems with applications to aerospace systems. Modern flight control systems are typically designed using a model of the aircraft dynamics. One aspect of Seiler's research is to develop tools to analyze the effect of model uncertainty and nonlinearities on system performance. He is currently applying modern control design and analysis tools to make wind energy more cost-effective. Advanced control algorithms can increase the power capture and reduced structural loads on large, industrial scale wind turbines.
Fault tolerance is vital to ensuring the integrity and availability of safety critical systems. Current solutions are based almost exclusively on physical redundancy at all levels of the design. The use of physical redundancy, however, dramatically increases system size, complexity, weight, and power consumption.