1 citations · 2 across the 8 of their papers we have counts for
8 papers
Consensus-Based Stability Analysis of Multi-Agent Networks
Ingyu Jang, Ethan J. LoCicero, Leila Bridgeman
The emergence of large-scale multi-agent systems has led to controller synthesis methods for sparse communication between agents. However, most sparse controller synthesis algorith…
Dissipativity-Based Distributed Stability Analysis for Networks with Heterogeneous Nonlinear Agents
Ingyu Jang, Ethan J. LoCicero, Leila Bridgeman
Stabilizing large networks of nonlinear agents is challenging; decomposition and distributed analysis of these networks are crucial for computational tractability and information s…
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…
Sampling-Based Model Predictive Control for Volumetric Ablation in Robotic Laser Surgery
Vincent Y. Wang, Ravi Prakash, Siobhan R. Oca +3
Laser-based surgical ablation relies heavily on surgeon involvement, restricting precision to the limits of human error. The interaction between laser and tissue is governed by var…
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…
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…
Dissipative Imitation Learning for Robust Dynamic Output Feedback
Amy K. Strong, Ethan J. LoCicero, Leila Bridgeman
Robust imitation learning seeks to mimic expert controller behavior while ensuring stability, but current methods require accurate plant models. Here, robust imitation learning is…
Fixed-Order H2-Conic Control
Ethan J. LoCicero, Leila Bridgeman
H2-conic controller design seeks to minimize the closed-loop H2-norm for a nominal linear system while satisfying the Conic Sector Theorem for nonlinear stability. This problem has…