The advanced-step NMPC controller: Optimality, stability and robustness. - Victor M. Zavala; Lorenz T. Biegler (Autom., 2009)

Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization. - Lorenz T. Biegler; Victor M. Zavala (Comput. Chem. Eng., 2009)

Optimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation. - Victor M. Zavala; Lorenz T. Biegler (Comput. Chem. Eng., 2009)

Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control. - Victor M. Zavala; Lorenz T. Biegler (Comput. Chem. Eng., 2009)

Advances in moving horizon estimation for nonlinear systems. - Angelo Alessandri; Marco Baglietto; Giorgio Battistelli; Victor M. Zavala (CDC, 2010)

Achieving higher frequencies in large-scale nonlinear model predictive control. - Victor M. Zavala; Mihai Anitescu (CDC, 2010)

Stability analysis of an approximate scheme for moving horizon estimation. - Victor M. Zavala (Comput. Chem. Eng., 2010)

Real-Time Nonlinear Optimization as a Generalized Equation. - Victor M. Zavala; Mihai Anitescu (SIAM J. Control. Optim., 2010)

A game-theoretical model predictive control framework for electricity markets. - Aswin Kannan; Victor M. Zavala (Allerton, 2011)

New insights into the dynamic stability of wholesale electricity markets. - Victor M. Zavala; Mihai Anitescu (CACSD, 2011)

Scalable stochastic optimization of complex energy systems. - Miles Lubin; Cosmin G. Petra; Mihai Anitescu; Victor M. Zavala (SC, 2011)

Stability of multiobjective predictive control: A utopia-tracking approach. - Victor M. Zavala; Antonio Flores-Tlacuahuac (Autom., 2012)

Evaluating storage systems for scientific data in the cloud. - Ketan Maheshwari; Justin M. Wozniak; Hao Yang 039; Daniel S. Katz; Matei Ripeanu; Victor M. Zavala; Michael Wilde (ScienceCloud@HPDC, 2014)

Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. - Naiyuan Chiang; Cosmin G. Petra; Victor M. Zavala (PSCC, 2014)

Stochastic optimal control model for natural gas networks. - Victor M. Zavala (Comput. Chem. Eng., 2014)

Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. - Victor M. Zavala; Mihai Anitescu (SIAM J. Optim., 2014)

Nonlinear programming strategies on high-performance computers. - Jia Kang; Naiyuan Chiang; Carl D. Laird; Victor M. Zavala (CDC, 2015)

Economic nonlinear model predictive control for mechanical pulping processes. - Hui Tian; Qiugang Lu; R. Bhushan Gopaluni; Victor M. Zavala; James A. Olson (ACC, 2016)

Multiobjective economic model predictive control of mechanical pulping processes. - Hui Tian; Qiugang Lu; R. Bhushan Gopaluni; Victor M. Zavala (CDC, 2016)

A framework for multi-stakeholder decision-making and conflict resolution. - Alexander W. Dowling; Gerardo J. Ruiz-Mercado; Victor M. Zavala (Comput. Chem. Eng., 2016)

Clustering-based preconditioning for stochastic programs. - Yankai Cao; Carl D. Laird; Victor M. Zavala (Comput. Optim. Appl., 2016)

An inertia-free filter line-search algorithm for large-scale nonlinear programming. - Naiyuan Chiang; Victor M. Zavala (Comput. Optim. Appl., 2016)

Data Centers as Dispatchable Loads to Harness Stranded Power. - Kibaek Kim; Fan Yang 015; Victor M. Zavala; Andrew A. Chien (CoRR, 2016)

MPC as a DVI: Implications on sampling rates and accuracy. - Mihai Anitescu; Victor M. Zavala (CDC, 2017)

Scalable modeling and solution of stochastic multiobjective optimization problems. - Yankai Cao; Luis Fabián Fuentes-Cortés; Siyu Chen; Victor M. Zavala (Comput. Chem. Eng., 2017)

Optimization formulations for multi-product supply chain networks. - Apoorva M. Sampat; Edgar Martin; Mariano Martín; Victor M. Zavala (Comput. Chem. Eng., 2017)

A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. - Victor M. Zavala; Kibaek Kim; Mihai Anitescu; John R. Birge (Oper. Res., 2017)

An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. - Naiyuan Chiang; Rui Huang; Victor M. Zavala (IEEE Trans. Autom. Control., 2017)

Handling Long Horizons in MPC: A Stochastic Programming Approach. - Ranjeet Kumar; Michael J. Wenzel; Matthew J. Ellis; Mohammad N. ElBsat; Kirk H. Drees; Victor M. Zavala (ACC, 2018)

Economic opportunities for industrial systems from frequency regulation markets. - Alexander W. Dowling; Victor M. Zavala (Comput. Chem. Eng., 2018)

A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty. - Joshua Pulsipher; Victor M. Zavala (Comput. Chem. Eng., 2018)

Benchmarking ADMM in nonconvex NLPs. - Jose S. Rodriguez; Bethany Nicholson; Carl D. Laird; Victor M. Zavala (Comput. Chem. Eng., 2018)

Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs. - Kibaek Kim; Victor M. Zavala (Math. Program. Comput., 2018)

pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations. - Bethany Nicholson; John D. Siirola; Jean-Paul Watson; Victor M. Zavala; Lorenz T. Biegler (Math. Program. Comput., 2018)

A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. - Frank E. Curtis; Andreas Wächter; Victor M. Zavala (SIAM J. Optim., 2018)

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. - Sungho Shin; Timm Faulwasser; Mario Zanon; Victor M. Zavala (CDC, 2019)

Hierarchical MPC schemes for periodic systems using stochastic programming. - Ranjeet Kumar; Michael J. Wenzel; Matthew J. Ellis; Mohammad N. ElBsat; Kirk H. Drees; Victor M. Zavala (Autom., 2019)

Graph-based modeling and simulation of complex systems. - Jordan Jalving; Yankai Cao; Victor M. Zavala (Comput. Chem. Eng., 2019)

Fairness-guided design of water distribution networks for agricultural lands. - Aurora del Carmen Munguía-López; Apoorva M. Sampat; Eusiel Rubio-Castro; José María Ponce-Ortega; Victor M. Zavala (Comput. Chem. Eng., 2019)

A computational framework for quantifying and analyzing system flexibility. - Joshua Pulsipher; Daniel Rios; Victor M. Zavala (Comput. Chem. Eng., 2019)

A scalable stochastic programming approach for the design of flexible systems. - Joshua Pulsipher; Victor M. Zavala (Comput. Chem. Eng., 2019)

Coordinated management of organic waste and derived products. - Apoorva M. Sampat; Yicheng Hu; Mahmoud Sharara; Horacio Aguirre-Villegas; Gerardo J. Ruiz-Mercado; Rebecca A. Larson; Victor M. Zavala (Comput. Chem. Eng., 2019)

Space-time dynamics of electricity markets incentivize technology decentralization. - Yue Shao; Victor M. Zavala (Comput. Chem. Eng., 2019)

Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links. - Weiqi Zhang; Line A. Roald; Andrew A. Chien; John R. Birge; Victor M. Zavala (CoRR, 2019)

A scalable global optimization algorithm for stochastic nonlinear programs. - Yankai Cao; Victor M. Zavala (J. Glob. Optim., 2019)

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. - Sungho Shin; Ophelia S. Venturelli; Victor M. Zavala (PLoS Comput. Biol., 2019)

An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. - Kibaek Kim; Cosmin G. Petra; Victor M. Zavala (SIAM J. Optim., 2019)

A Hierarchical Optimization Architecture for Large-Scale Power Networks. - Sungho Shin; Philip Hart; Thomas Jahns; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2019)

Overlapping Schwarz Decomposition for Constrained Quadratic Programs. - Sungho Shin; Mihai Anitescu; Victor M. Zavala (CDC, 2020)

Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes. - Mohammad-Reza Askari; Iman Hajizadeh; Mudassir M. Rashid; Nicole Hobbs; Victor M. Zavala; Ali Cinar (Annu. Rev. Control., 2020)

Optimal constraint-based regularization for parameter estimation problems. - Caroline S. M. Nakama; Galo A. C. Le Roux; Victor M. Zavala (Comput. Chem. Eng., 2020)

Scalable preconditioning of block-structured linear algebra systems using ADMM. - Jose S. Rodriguez; Carl D. Laird; Victor M. Zavala (Comput. Chem. Eng., 2020)

A tractable approximation for stochastic MPC and application to mechanical pulping processes. - Hui Tian; Jagadeesan Prakash; Victor M. Zavala; James A. Olson; R. Bhushan Gopaluni (Comput. Chem. Eng., 2020)

Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Qiugang Lu; Sungho Shin; Victor M. Zavala (CoRR, 2020)

On the Convergence of the Dynamic Inner PCA Algorithm. - Sungho Shin; Alexander D. Smith 001; Si-Zhao Joe Qin; Victor M. Zavala (CoRR, 2020)

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. - Sungho Shin; Qiugang Lu; Victor M. Zavala (CoRR, 2020)

Overlapping Schwarz Decomposition for Nonlinear Optimal Control. - Sen Na; Sungho Shin; Mihai Anitescu; Victor M. Zavala (CoRR, 2020)

Image-Based Model Predictive Control via Dynamic Mode Decomposition. - Qiugang Lu; Victor M. Zavala (CoRR, 2020)

MPC Controller Tuning using Bayesian Optimization Techniques. - Qiugang Lu; Ranjeet Kumar; Victor M. Zavala (CoRR, 2020)

Dynamic penalty function approach for constraints handling in reinforcement learning. - Haeun Yoo; Victor M. Zavala; Jay H. Lee (CoRR, 2020)

Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. - Sungho Shin; Victor M. Zavala; Mihai Anitescu (IEEE Trans. Control. Netw. Syst., 2020)

Evaluating Coupling Models for Cloud Datacenters and Power Grids. - Liuzixuan Lin; Victor M. Zavala; Andrew A. Chien (e-Energy, 2021)

Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. - Shengli Jiang; Zhuo Xu; Medhavi Kamran; Stas Zinchik; Paheding Sidike; Armando G. McDonald; Ezra Bar-Ziv; Victor M. Zavala (Comput. Chem. Eng., 2021)

Dual dynamic programming for multi-scale mixed-integer MPC. - Ranjeet Kumar; Michael J. Wenzel; Mohammad N. ElBsat; Michael J. Risbeck; Kirk H. Drees; Victor M. Zavala (Comput. Chem. Eng., 2021)

Bayesian optimization with reference models: A case study in MPC for HVAC central plants. - Qiugang Lu; Leonardo D. González; Ranjeet Kumar; Victor M. Zavala (Comput. Chem. Eng., 2021)

Mitigating investment risk using modular technologies. - Yue Shao; Yicheng Hu; Victor M. Zavala (Comput. Chem. Eng., 2021)

Topological data analysis: Concepts, computation, and applications in chemical engineering. - Alexander D. Smith 001; Pawel Dlotko; Victor M. Zavala (Comput. Chem. Eng., 2021)

The Euler characteristic: A general topological descriptor for complex data. - Alexander Smith 005; Victor M. Zavala (Comput. Chem. Eng., 2021)

Economic properties of multi-product supply chains. - Philip A. Tominac; Victor M. Zavala (Comput. Chem. Eng., 2021)

Corrigendum to "Economic properties of multi-product supply chains" [Computers and Chemical Engineering (Nov 4, 2020) In Press]. - Philip A. Tominac; Victor M. Zavala (Comput. Chem. Eng., 2021)

Convolutional Neural Nets: Foundations, Computations, and New Applications. - Shengli Jiang; Victor M. Zavala (CoRR, 2021)

An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers. - Weiqi Zhang; Victor M. Zavala (CoRR, 2021)

Measuring and Optimizing System Reliability: A Stochastic Programming Approach. - Joshua L. Pulsipher; Victor M. Zavala (CoRR, 2021)

Coordinated markets for furfural and levulinic acid from residual biomass: A case study in Guanajuato, Mexico. - Heriberto Alcocer-Garcia; Juan Gabriel Segovia-Hernández; Eduardo Sanchez-Ramirez; Philip A. Tominac; Victor M. Zavala (Comput. Chem. Eng., 2022)

ADAM: A web platform for graph-based modeling and optimization of supply chains. - Yicheng Hu; Weiqi Zhang; Philip A. Tominac; Margaret Shen; Dilara Gorëke; Edgar Martín-Hernández; Mariano Martín; Gerardo J. Ruiz-Mercado; Victor M. Zavala (Comput. Chem. Eng., 2022)

Solution of large-scale supply chain models using graph sampling & coarsening. - Jiaze Ma; Victor M. Zavala (Comput. Chem. Eng., 2022)

Random field optimization. - Joshua L. Pulsipher; Benjamin R. Davidson; Victor M. Zavala (Comput. Chem. Eng., 2022)

A unifying modeling abstraction for infinite-dimensional optimization. - Joshua L. Pulsipher; Weiqi Zhang; Tyler J. Hongisto; Victor M. Zavala (Comput. Chem. Eng., 2022)

Data analysis using Riemannian geometry and applications to chemical engineering. - Alexander Smith 005; Benjamin Laubach; Ivan Castillo; Victor M. Zavala (Comput. Chem. Eng., 2022)

Spatio-temporal economic properties of multi-product supply chains. - Philip A. Tominac; Weiqi Zhang; Victor M. Zavala (Comput. Chem. Eng., 2022)

Pricing and remunerating electricity storage flexibility using virtual links. - Weiqi Zhang; Philip A. Tominac; Victor M. Zavala (Comput. Chem. Eng., 2022)

SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. - Joshua L. Pulsipher; Luke D. J. Coutinho; Tyler A. Soderstrom; Victor M. Zavala (CoRR, 2022)

Pricing and Remunerating Electricity Storage Flexibility Using Virtual Links. - Weiqi Zhang; Victor M. Zavala (CoRR, 2022)

Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing. - Shengli Jiang; Shiyi Qin; Joshua L. Pulsipher; Victor M. Zavala (CoRR, 2022)

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl. - Jordan Jalving; Sungho Shin; Victor M. Zavala (Math. Program. Comput., 2022)

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. - Sungho Shin; Mihai Anitescu; Victor M. Zavala (SIAM J. Optim., 2022)

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. - Sen Na; Sungho Shin; Mihai Anitescu; Victor M. Zavala (IEEE Trans. Autom. Control., 2022)

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. - David L. Cole; Sungho Shin; François Pacaud; Victor M. Zavala; Mihai Anitescu (ACC, 2023)

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search. - Shengli Jiang; Shiyi Qin; Reid C. Van Lehn; Prasanna Balaprakash; Victor M. Zavala (CoRR, 2023)

BOIS: Bayesian Optimization of Interconnected Systems. - Leonardo D. González; Victor M. Zavala (CoRR, 2023)

A Fast and Scalable Computational Topology Framework for the Euler Characteristic. - Daniel J. Laky; Victor M. Zavala (CoRR, 2023)

Integrating a tailored recurrent neural network with Bayesian experimental design to optimize microbial community functions. - Jaron C. Thompson; Victor M. Zavala; Ophelia S. Venturelli (PLoS Comput. Biol., 2023)

Diffusing-Horizon Model Predictive Control. - Sungho Shin; Victor M. Zavala (IEEE Trans. Autom. Control., 2023)

Exploring the Impacts of Power Grid Signals on Data Center Operations Using a Receding-Horizon Scheduling Model. - Weiqi Zhang; Line Roald; Victor M. Zavala (IEEE Trans. Sustain. Comput., 2023)

New paradigms for exploiting parallel experiments in Bayesian optimization. - Leonardo D. González; Victor M. Zavala (Comput. Chem. Eng., 2023)

A spatial superstructure approach to the optimal design of modular processes and supply chains. - Yue Shao; Jiaze Ma; Victor M. Zavala (Comput. Chem. Eng., 2023)

Quantifying space-time load shifting flexibility in electricity markets. - Weiqi Zhang; Victor M. Zavala (Comput. Chem. Eng., 2023)

A graph-based modeling framework for tracing hydrological pollutant transport in surface waters. - David L. Cole; Gerardo J. Ruiz-Mercado; Victor M. Zavala (Comput. Chem. Eng., 2023)

A Parametric Bayesian Optimization Framework for Batch Dynamical Systems. - Jaron C. Thompson; Lloyd MacKinnon; Ophelia S. Venturelli; Victor M. Zavala (ACC, 2024)

Trends and perspectives in computed-aided process operations and control. - Rahul Bindlish; Michael Baldea; Iiro Harjunkoski; Victor M. Zavala (Comput. Chem. Eng., 2024)

PlasmoData.jl - A Julia framework for modeling and analyzing complex data as graphs. - David L. Cole; Victor M. Zavala (Comput. Chem. Eng., 2024)

Evaluating the economic and environmental benefits of deploying a national-scale, thermo-chemical plastic waste upcycling infrastructure in the United States. - Evan D. Erickson; Philip A. Tominac; Jiaze Ma; Horacio Aguirre-Villegas; Victor M. Zavala (Comput. Chem. Eng., 2024)

Graph neural networks for CO2 solubility predictions in Deep Eutectic Solvents. - Gabriel Hernández Morales; Edgar Ivan Sanchez Medina; Arturo Jiménez-Gutiérrez; Victor M. Zavala (Comput. Chem. Eng., 2024)

Spatio-temporal load shifting for truly clean computing. - Iegor Riepin; Tom Brown; Victor M. Zavala (CoRR, 2024)

Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks. - Fei Long; Shengli Jiang; Ezra Bar-Ziv; Victor M. Zavala (Comput. Chem. Eng., 2024)

From automated to autonomous process operations. - Michael Baldea; Apostolos T. Georgiou; R. Bhushan Gopaluni; Mehmet Mercangöz; Constantinos C. Pantelides; Kiran Sheth; Victor M. Zavala; Christos Georgakis 002 (Comput. Chem. Eng., 2025)

Techno-economic analysis of an integrated process for cyanobacteria-based nutrient recovery from livestock waste. - Leonardo D. González; Brenda Cansino-Loeza; Theodore A. Chavkin; Justin D. Gay; Rebecca A. Larson; Brian F. Pfleger; Victor M. Zavala (Comput. Chem. Eng., 2025)

A digital twin simulator of a pastillation process with applications to automatic control based on computer vision. - Leonardo D. González; Joshua L. Pulsipher; Shengli Jiang; Angan Mukherjee; Tyler A. Soderstrom; Victor M. Zavala (Comput. Chem. Eng., 2025)

Screening green solvents for multilayer plastic film recycling processes. - Ugochukwu M. Ikegwu; Aurora del Carmen Munguía-López; Victor M. Zavala; Reid C. Van Lehn (Comput. Chem. Eng., 2025)

A fast computational framework for the design of solvent-based plastic recycling processes. - Ugochukwu M. Ikegwu; Panzheng Zhou; Reid C. Van Lehn; Victor M. Zavala; Aurora del Carmen Munguía-López (Comput. Chem. Eng., 2025)

A graph-theoretic framework for analyzing and designing chemical engineering curricula. - Blake Lopez; Yue Shao; Victor M. Zavala (Comput. Chem. Eng., 2025)

On the Implementation of a Bayesian Optimization Framework for Interconnected Systems. - Leonardo D. González; Victor M. Zavala (CoRR, 2025)

A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision. - Leonardo D. González; Joshua L. Pulsipher; Shengli Jiang; Tyler A. Soderstrom; Victor M. Zavala (CoRR, 2025)

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. - Alexander Engelmann; Sungho Shin; François Pacaud; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2025)