Maturity of scientific theories has facilitated creation of advanced technology of human-engineered complex systems. A major challenge in these systems is online detection of behavioral uncertainties due to gradual evolution of anomalies (i.e., deviations from the nominal condition). These anomalies may alter the quasi-static behavior that causes performance degradation and can eventually lead to catastrophic failures. Therefore, for safe and reliable operation, it is essential to develop robust analytical tools for online degradation monitoring and for generating advanced warnings of...