activity
20192023
most citedAttitude Trajectory Optimization and Momentum Conservation with Control Moment Gyroscopes

2 citations · 2 across the 2 of their papers we have counts for

collaborators

6 papers

math.OC2023

Finite-Time Computation of Polyhedral Input-Saturated Output-Admissible Sets

Yaashia Gautam, Marco M. Nicotra

The paper introduces a novel algorithm for computing the output admissible set of linear discrete-time systems subject to input saturation. The proposed method takes advantage of t…

math.OC20222 cited

Attitude Trajectory Optimization and Momentum Conservation with Control Moment Gyroscopes

Thomas L. Dearing, John Hauser, Christopher Petersen +2

In this work, we develop a numerically tractable trajectory optimization problem for rest-to-rest attitude transfers with CMG-driven spacecraft. First, we adapt a specialized dynam…

eess.SY2021

Constrained Power Reference Control for Wind Turbines

Daniel S. Zalkind, Marco M. Nicotra, Lucy Y. Pao

The cost of wind energy can be reduced by controlling the power reference of a turbine to increase energy capture, while maintaining load and generator speed constraints. We apply…

math.OC2020

An Analysis of Closed-Loop Stability for Linear Model Predictive Control Based on Time-Distributed Optimization

Dominic Liao-McPherson, Terrence Skibik, Jordan Leung +2

Time-distributed Optimization (TDO) is an approach for reducing the computational burden of Model Predictive Control (MPC). When using TDO, optimization iterations are distributed…

math.OC2019

Sensitivity-based Warmstarting for Nonlinear Model Predictive Control with Polyhedral State and Control Constraints

Dominic Liao-McPherson, Marco M. Nicotra, Asen L. Dontchev +2

Model predictive control (MPC) is of increasing interest in applications for constrained control of multivariable systems. However, one of the major obstacles to its broader use is…

math.OC2019

Time Distributed Optimization for Model Predictive Control: Stability, Robustness, and Constraint Satisfaction

Dominic Liao-McPherson, Marco Nicotra, Ilya Kolmanovsky

Time distributed optimization is an implementation strategy that can significantly reduce the computational burden of model predictive control by exploiting its robustness to incom…