activity
20112026
most citedState and Parameter Estimation for Natural Gas Pipeline Networks using Transient State Data

57 citations · 222 across the 42 of their papers we have counts for

collaborators

48 papers

cs.RO2026

From Orbit Matching to Docking: A Hierarchical Reinforcement-Learning Approach to Multiphase Rendezvous Trajectory Design

Mariko Storey-Matsutani, Anatoly Zlotnik, Lee Holguin +2

As the complexity of space missions increases, autonomous spacecraft guidance must accommodate transitions between mission phases with distinct dynamics, objectives, and constraint…

math.OC2026

A Bilevel Market Equilibrium Model for Natural Gas Pipeline Network Operations: Convex Relaxations and Single-level Reformulations

Novel Kumar Dey, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani +2

We propose an integrated market equilibrium model for determining the spot market prices and flow rates in a natural gas pipeline network. The traditional approach solves the marke…

quant-ph2025

Robust Quantum State Generation in Symmetric Spin Networks

Andre Luiz P. de Lima, Luke S. Baker, Anatoly Zlotnik +3

In this work, we consider a parameterized Ising model with long-range symmetric pairwise interactions on a network of spin particles. The system is designed with symm…

quant-ph2025

Robust Quantum Control for Bragg Pulse Design in Atom Interferometry

Luke S. Baker, Andre Luiz P. de Lima, Andrew Harter +6

We formulate a robust optimal control algorithm to synthesize minimum energy pulses that can transfer a cold atom system into various momentum states. The algorithm uses adaptive l…

math.OC2024

Robust Quantum Gate Preparation in Open Environments

Luke S. Baker, Syed A. Shah, Anatoly Zlotnik +1

We develop an optimal control algorithm for robust quantum gate preparation in open environments with the state of the quantum system represented using the Lindblad master equation…

math.OC2024

Setpoint Tracking and Disturbance Attenuation for Gas Pipeline Flow Subject to Uncertainties using Backstepping

Bhathiya Rathnayake, Anatoly Zlotnik, Svetlana Tokareva +1

In this paper, we consider the problem of regulating the outlet pressure of gas flowing through a pipeline subject to uncertain and variable outlet flow. Gas flow through a pipe is…

math.DS2024

Simulation of Gas Mixture Dynamics in a Pipeline Network using Explicit Staggered-Grid Discretization

Yan Brodskyi, Vitaliy Gyrya, Anatoly Zlotnik

We develop an explicit second order staggered finite difference discretization scheme for simulating the transport of highly heterogeneous gas mixtures through pipeline networks. T…

math.OC2024★ 1 cited

Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows

Saif R. Kazi, Sidhant Misra, Svetlana Tokareva +2

Natural gas consumption by users of pipeline networks is subject to increasing uncertainty that originates from the intermittent nature of electric power loads serviced by gas-fire…

math.NA2024

Stochastic Active Discretizations for Accelerating Temporal Uncertainty Management of Gas Pipeline Loads

Jake J. Harmon, Svetlana Tokareva, Anatoly Zlotnik

We propose a predictor-corrector adaptive method for the simulation of hyperbolic partial differential equations (PDEs) on networks under general uncertainty in parameters, initial…

math.OC2024★ 1 cited

Convergence of Iterative Quadratic Programming for Robust Fixed-Endpoint Transfer of Bilinear Systems

Luke S. Baker, Andre Luiz P. de Lima, Anatoly Zlotnik +2

We present a computational method for open-loop minimum-norm control synthesis for fixed-endpoint transfer of bilinear ensemble systems that are indexed by two continuously varying…

math.NA2024★ 1 cited

Adaptive Uncertainty Quantification for Stochastic Hyperbolic Conservation Laws

Jake J. Harmon, Svetlana Tokareva, Anatoly Zlotnik +1

We propose a predictor-corrector adaptive method for the study of hyperbolic partial differential equations (PDEs) under uncertainty. Constructed around the framework of stochastic…

math.DS2023

Boundary Control for Suppressing Chaotic Response to Dynamic Hydrogen Blending in a Gas Pipeline

Luke S. Baker, Anatoly Zlotnik

It is known that periodic forcing of nonlinear flows can result in a chaotic response under certain conditions. Such non-periodic and chaotic solutions have been observed in simula…

math.OC2023

Locational Marginal Pricing of Energy in Pipeline Transport of Natural Gas and Hydrogen with Carbon Offset Incentives

Mo Sodwatana, Saif R. Kazi, Kaarthik Sundar +2

We propose an optimization formulation for locational pricing of energy transported through a pipeline network that carries mixtures of natural gas and hydrogen from distributed so…

math.OC2023

Optimal Ensemble Control of Matter-Wave Splitting in Bose-Einstein Condensates

Andre Luiz P. de Lima, Andrew K. Harter, Michael J. Martin +1

We present a framework for designing optimal optical pulses for the matter-wave splitting of a Bose-Einstein Condensate (BEC) under the influence of experimental inhomogeneities, s…

math.OC2023

Linear System Analysis and Optimal Control of Natural Gas Dynamics in Pipeline Networks

Luke S. Baker, Sachin Shivakumar, Dieter Armbruster +2

We design nonlinear and adaptive linear model-predictive control (MPC) techniques to minimize operational costs of compressor-actuated dynamics in natural gas pipeline networks. We…

math.OC2023

Dynamic Optimization and Optimal Control of Hydrogen Blending Operations in Natural Gas Networks

Saif R. Kazi, Kaarthik Sundar, Anatoly Zlotnik

We present a dynamic model for the optimal control problem (OCP) of hydrogen blending into natural gas pipeline networks subject to inequality constraints. The dynamic model is der…

math.DS2023

Transitions from Monotonicity to Chaos in Gas Mixture Dynamics in Pipeline Networks

Luke S. Baker, Saif R. Kazi, Anatoly Zlotnik

The blending of hydrogen generated using clean energy into natural gas pipeline networks is proposed in order to utilize existing energy systems for their planned lifetimes while r…

math.OC2022★ 2 cited

Modeling and Optimization of Steady Flow of Natural Gas and Hydrogen Mixtures in Pipeline Networks

Saif R. Kazi, Kaarthik Sundar, Shriram Srinivasan +1

We extend the canonical problems of simulation and optimization of steady-state gas flows in pipeline networks with compressors to the transport of mixtures of highly heterogeneous…

math.OC2022

Optimization of Hydrogen Blending in Natural Gas Networks for Carbon Emissions Reduction

Mo Sodwatana, Saif R. Kazi, Kaarthik Sundar +1

We present an economic optimization problem for allocating the flow of natural gas and hydrogen blends through a large-scale transportation pipeline network. Physical flow of the g…

math.OC2022

Optimal Control of Transient Flows in Pipeline Networks with Heterogeneous Mixtures of Hydrogen and Natural Gas

Luke Baker, Saif R. Kazi, Rodrigo B. Platte +1

We formulate a control system model for the distributed flow of mixtures of highly heterogeneous gases through large-scale pipeline networks with time-varying injections of constit…

math.NA2022★ 2 cited

Stochastic Finite Volume Method for Uncertainty Quantification of Transient Flow in Gas Pipeline Networks

Svetlana Tokareva, Anatoly Zlotnik, Vitaliy Gyrya

We develop a weakly intrusive framework to simulate the propagation of uncertainty in solutions of generic hyperbolic partial differential equation systems on graph-connected domai…

eess.SY2022★ 1 cited

Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas

Shriram Srinivasan, Kaarthik Sundar, Vitaliy Gyrya +1

We formulate a steady-state network flow problem for non-ideal gas that relates injection rates and nodal pressures in the network to flows in pipes. For this problem, we present a…

cs.NE2021★ 41 cited

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware

Alpha Renner, Forrest Sheldon, Anatoly Zlotnik +2

The capabilities of natural neural systems have inspired new generations of machine learning algorithms as well as neuromorphic very large-scale integrated (VLSI) circuits capable…

nlin.AO2021★ 19 cited

Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators

Yuzuru Kato, Anatoly Zlotnik, Jr-Shin Li +1

We propose a general method for optimizing periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators based on phase reduction and nonlinear programmi…