Optimizing Noisy Complex Systems Liable to Failure

Optimizing cooperation on complex networks in the presence of failure.

Cooperation has been recognized as a fundamental driving force in many natural, social, and economic systems. We investigate whether, given a complex-networked system in which agents (nodes) interact with one another according to the rules of evolutionary games and are subject to failure or death, cooperation can prevail and be optimized. We articulate a control scheme to maximize cooperation b...

Failure Diagnosis of Complex Systems

Failure diagnosis is the process of identifying the causes of impairment in a system’s function based on observable symptoms, i.e., determining which fault led to an observed failure. Since multiple faults can often lead to very similar symptoms, failure diagnosis is often the first line of defense when things go wrong a prerequisite before any corrective actions can be undertaken. The results ...

Complex fuzzy linear systems

Dynamic Reconfiguration of Complex Systems to Avoid Failure

There are increasing pressures for low cost, reliable automation systems even though system applications are becoming increasingly complex and deployed in critical applications. The automation of historically manual or mechanical systems is contributing to the growth in coupled automation systems while placing a greater demand on machinery reliability. In spite of the greater focus on maintenan...

Quantum Sensing of Noisy and Complex Systems under Dynamical Control

We review our unified optimized approach to the dynamical control of quantum-probe interactions with noisy and complex systems viewed as thermal baths. We show that this control, in conjunction with tools of quantum estimation theory, may be used for inferring the spectral and spatial characteristics of such baths with high precision. This approach constitutes a new avenue in quantum sensing, d...