242 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stanford UniversityUS52 papers
- American Institute of Aeronautics and AstronauticsUS25 papers
- Imperial College LondonGB24 papers
- Instituto Tecnológico de AeronáuticaBR18 papers
- Nanjing University of Aeronautics and AstronauticsCN9 papers
- Kent State UniversityUS6 papers
- The University of TokyoJP6 papers
- Massachusetts Institute of TechnologyUS5 papers
- University of WashingtonUS5 papers
- International Iberian Nanotechnology LaboratoryPT4 papers
- Politecnico di TorinoIT4 papers
- University of California, BerkeleyUS4 papers
13 papers · 1 filter
Sensitivity-Driven Adaptive Surrogate Modeling for Simulation and Optimization of Dynamical Systems
Jonathan R. Cangelosi, Matthias Heinkenschloss
This paper develops a surrogate model refinement approach for the simulation of dynamical systems and the solution of optimization problems governed by dynamical systems in which s…
Sensitivity of ODE Solutions and Quantities of Interest with Respect to Component Functions in the Dynamics
Jonathan R. Cangelosi, Matthias Heinkenschloss
This work analyzes the sensitivities of the solution of a system of ordinary differential equations (ODEs) and a corresponding quantity of interest (QoI) to perturbations in a stat…
An Integrated Supply Chain Network Design for Advanced Air Mobility Aircraft Manufacturing Using Stochastic Optimization
Esrat Farhana Dulia, Syed A. M. Shihab
Electric vertical takeoff and landing (eVTOL) aircraft manufacturers await numerous pre-orders for eVTOLs and expect demand for such advanced air mobility (AAM) aircraft to rise dr…
Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints
Jad Wehbeh, Eric C. Kerrigan
Discrete-time robust optimal control problems generally take a min-max structure over continuous variable spaces, which can be difficult to solve in practice. In this paper, we ext…
Designing a Surveillance Sensor Network with Information Clearinghouse for Advanced Air Mobility
Esrat Farhana Dulia, Syed Arbab Mohd Shihab
To ensure safe, secure, and efficient advanced air mobility (AAM) operations, an AAM surveillance network is needed to detect and track AAM traffic. Additionally, a cloud-based sur…
Automated Tour Design in the Saturnian System
Yuji Takubo, Damon Landau, Brian Anderson
Future missions to Enceladus would benefit from multi-moon tours that leverage V-infinity on resonant orbits to progressively transfer between moons. Such "resonance family hopping…
Direct data-driven control of LTV systems
Benita Nortmann, Thulasi Mylvaganam
Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance and robustness to proces…
Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach using Integrated Residuals
Yuanbo Nie, Eric C. Kerrigan
We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be s…
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard +1
Sequential Convex Programming (SCP) has recently seen a surge of interest as a tool for trajectory optimization. However, most available methods lack rigorous performance guarantee…
Dynamic Optimization with Convergence Guarantees
Martin P. Neuenhofen, Eric C. Kerrigan
We present a novel direct transcription method to solve optimization problems subject to nonlinear differential and inequality constraints. We prove convergence of our numerical me…
Mass-spring-damper Networks for Distributed Optimization in Non-Euclidean Spaces
Yue Yu, Behçet Açıkmeşe, Mehran Mesbahi
We consider the problem of minimizing the sum of non-smooth convex functions in non-Euclidean spaces, e.g., probability simplex, via only local computation and communication on an…
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms
Sumeet Singh, Yin-Lam Chow, Anirudha Majumdar +1
In this paper we present a framework for risk-sensitive model predictive control (MPC) of linear systems affected by stochastic multiplicative uncertainty. Our key innovation is to…
Analytical results for the multi-objective design of model-predictive control
Vincent Bachtiar, Chris Manzie, William H. Moase +1
In model-predictive control (MPC), achieving the best closed-loop performance under a given computational resource is the underlying design consideration. This paper analyzes the M…