3 papers
eess.SY2024
Issues with Input-Space Representation in Nonlinear Data-Based Dissipativity Estimation
Ethan LoCicero, Alex Penne, Leila Bridgeman
In data-based control, dissipativity can be a powerful tool for attaining stability guarantees for nonlinear systems if that dissipativity can be inferred from data. This work prov…
math.OC2024
Stochastic Dissipativity for Systems with Probabilistic Input Delays
Ethan LoCicero, Amy Strong, Leila Bridgeman
This work considers stochastic operators in general inner-product spaces, and in particular, systems with stochastically time-varying input delays of a known probability distributi…
eess.SY2023
Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Sets
Amy K. Strong, Ethan J. LoCicero, Leila J. Bridgeman
Imitation learning enables the synthesis of controllers for complex objectives and highly uncertain plant models. However, methods to provide stability guarantees to imitation lear…