3 papers
eess.SY2025
Computing Modes of Instability of Parameterized Nonlinear Systems for Vulnerability Assessment
Jinghan Wang, Michael W. Fisher
Engineered systems naturally experience large disturbances that can disrupt desired operation because the system may fail to recover to a stable equilibrium point. It is valuable t…
eess.SY2025
Determining Disturbance Recovery Conditions by Inverse Sensitivity Minimization
Michael W. Fisher, Ian A. Hiskens
Power systems naturally experience disturbances, some of which can damage equipment and disrupt consumers. It is important to quickly assess the likely consequences of credible dis…
eess.SY2025
Computing Safety Margins of Parameterized Nonlinear Systems for Vulnerability Assessment via Trajectory Sensitivities
Michael W. Fisher
Physical systems experience nonlinear disturbances which have the potential to disrupt desired behavior. For a particular disturbance, whether or not the system recovers from the d…