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2020 – today
- 2024
[j69]Fei Long
, Shengli Jiang, Ezra Bar-Ziv, Victor M. Zavala:
Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks. Comput. Chem. Eng. 181: 108516 (2024)- [j68]Rahul Bindlish, Michael Baldea, Iiro Harjunkoski, Victor M. Zavala:
Trends and perspectives in computed-aided process operations and control. Comput. Chem. Eng. 182: 108575 (2024) - [j67]David L. Cole, Victor M. Zavala:
PlasmoData.jl - A Julia framework for modeling and analyzing complex data as graphs. Comput. Chem. Eng. 185: 108679 (2024) - [j66]Gabriel Hernández Morales, Edgar Ivan Sanchez Medina, Arturo Jiménez-Gutiérrez, Victor M. Zavala:
Graph neural networks for CO2 solubility predictions in Deep Eutectic Solvents. Comput. Chem. Eng. 187: 108750 (2024) - [j65]Evan D. Erickson, Philip A. Tominac, Jiaze Ma, Horacio Aguirre-Villegas, Victor M. Zavala:
Evaluating the economic and environmental benefits of deploying a national-scale, thermo-chemical plastic waste upcycling infrastructure in the United States. Comput. Chem. Eng. 189: 108800 (2024) - [c17]Jaron C. Thompson, Lloyd MacKinnon, Ophelia S. Venturelli, Victor M. Zavala:
A Parametric Bayesian Optimization Framework for Batch Dynamical Systems. ACC 2024: 4333-4338 - [i28]David L. Cole, Victor M. Zavala:
PlasmoData.jl - A Julia Framework for Modeling and Analyzing Complex Data as Graphs. CoRR abs/2401.11404 (2024) - [i27]Iegor Riepin, Tom Brown, Victor M. Zavala:
Spatio-temporal load shifting for truly clean computing. CoRR abs/2405.00036 (2024) - 2023
- [j64]Yue Shao, Jiaze Ma, Victor M. Zavala:
A spatial superstructure approach to the optimal design of modular processes and supply chains. Comput. Chem. Eng. 170: 108102 (2023) - [j63]Leonardo D. González, Victor M. Zavala:
New paradigms for exploiting parallel experiments in Bayesian optimization. Comput. Chem. Eng. 170: 108110 (2023) - [j62]Weiqi Zhang, Victor M. Zavala:
Quantifying space-time load shifting flexibility in electricity markets. Comput. Chem. Eng. 177: 108338 (2023) - [j61]David L. Cole, Gerardo J. Ruiz-Mercado, Victor M. Zavala:
A graph-based modeling framework for tracing hydrological pollutant transport in surface waters. Comput. Chem. Eng. 179: 108457 (2023) - [j60]Jaron C. Thompson, Victor M. Zavala, Ophelia S. Venturelli:
Integrating a tailored recurrent neural network with Bayesian experimental design to optimize microbial community functions. PLoS Comput. Biol. 19(9) (2023) - [j59]Sungho Shin, Victor M. Zavala:
Diffusing-Horizon Model Predictive Control. IEEE Trans. Autom. Control. 68(1): 188-201 (2023) - [j58]Weiqi Zhang, Line Roald, Victor M. Zavala:
Exploring the Impacts of Power Grid Signals on Data Center Operations Using a Receding-Horizon Scheduling Model. IEEE Trans. Sustain. Comput. 8(2): 245-256 (2023) - [c16]David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu:
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. ACC 2023: 3995-4000 - [i26]David L. Cole, Gerardo J. Ruiz-Mercado, Victor M. Zavala:
A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters. CoRR abs/2302.04991 (2023) - [i25]Weiqi Zhang, Victor M. Zavala:
Quantifying Space-Time Load Shifting Flexibility in Electricity Markets. CoRR abs/2303.10217 (2023) - [i24]Shengli Jiang, Shiyi Qin, Reid C. Van Lehn, Prasanna Balaprakash, Victor M. Zavala:
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search. CoRR abs/2307.10438 (2023) - [i23]Leonardo D. González, Victor M. Zavala:
BOIS: Bayesian Optimization of Interconnected Systems. CoRR abs/2311.11254 (2023) - [i22]Daniel J. Laky, Victor M. Zavala:
A Fast and Scalable Computational Topology Framework for the Euler Characteristic. CoRR abs/2311.11740 (2023) - 2022
- [j57]Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala:
A unifying modeling abstraction for infinite-dimensional optimization. Comput. Chem. Eng. 156: 107567 (2022) - [j56]Heriberto Alcocer-Garcia, Juan Gabriel Segovia-Hernández, Eduardo Sanchez-Ramirez, Philip A. Tominac, Victor M. Zavala:
Coordinated markets for furfural and levulinic acid from residual biomass: A case study in Guanajuato, Mexico. Comput. Chem. Eng. 156: 107568 (2022) - [j55]Philip A. Tominac, Weiqi Zhang, Victor M. Zavala:
Spatio-temporal economic properties of multi-product supply chains. Comput. Chem. Eng. 159: 107666 (2022) - [j54]Jiaze Ma, Victor M. Zavala:
Solution of large-scale supply chain models using graph sampling & coarsening. Comput. Chem. Eng. 163: 107832 (2022) - [j53]Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala:
Random field optimization. Comput. Chem. Eng. 165: 107854 (2022) - [j52]Yicheng Hu, Weiqi Zhang, Philip A. Tominac, Margaret Shen, Dilara Gorëke, Edgar Martín-Hernández, Mariano Martín, Gerardo J. Ruiz-Mercado, Victor M. Zavala:
ADAM: A web platform for graph-based modeling and optimization of supply chains. Comput. Chem. Eng. 165: 107911 (2022) - [j51]Weiqi Zhang, Philip A. Tominac, Victor M. Zavala:
Pricing and remunerating electricity storage flexibility using virtual links. Comput. Chem. Eng. 168: 108019 (2022) - [j50]Alexander D. Smith, Benjamin Laubach, Ivan Castillo, Victor M. Zavala:
Data analysis using Riemannian geometry and applications to chemical engineering. Comput. Chem. Eng. 168: 108023 (2022) - [j49]Jordan Jalving, Sungho Shin, Victor M. Zavala:
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl. Math. Program. Comput. 14(4): 699-747 (2022) - [j48]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. SIAM J. Optim. 32(2): 1156-1183 (2022) - [j47]Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 67(11): 5996-6011 (2022) - [i21]Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom, Victor M. Zavala:
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. CoRR abs/2202.01816 (2022) - [i20]Weiqi Zhang, Line A. Roald, Victor M. Zavala:
Exploring the Impacts of Power Grid Signals on Data Center Operations using a Receding-Horizon Scheduling Model. CoRR abs/2204.06654 (2022) - [i19]Weiqi Zhang, Victor M. Zavala:
Pricing and Remunerating Electricity Storage Flexibility Using Virtual Links. CoRR abs/2204.07281 (2022) - [i18]Leonardo D. González, Victor M. Zavala:
New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization. CoRR abs/2210.01071 (2022) - [i17]Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher, Victor M. Zavala:
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing. CoRR abs/2210.07848 (2022) - [i16]Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala:
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. CoRR abs/2212.11571 (2022) - 2021
- [j46]Philip A. Tominac, Victor M. Zavala:
Economic properties of multi-product supply chains. Comput. Chem. Eng. 145: 107157 (2021) - [j45]Alexander D. Smith, Pawel Dlotko, Victor M. Zavala:
Topological data analysis: Concepts, computation, and applications in chemical engineering. Comput. Chem. Eng. 146: 107202 (2021) - [j44]Philip A. Tominac, Victor M. Zavala:
Corrigendum to "Economic properties of multi-product supply chains" [Computers and Chemical Engineering (Nov 4, 2020) In Press]. Comput. Chem. Eng. 146: 107228 (2021) - [j43]Ranjeet Kumar, Michael J. Wenzel, Mohammad N. ElBsat, Michael J. Risbeck, Kirk H. Drees, Victor M. Zavala:
Dual dynamic programming for multi-scale mixed-integer MPC. Comput. Chem. Eng. 148: 107265 (2021) - [j42]Yue Shao, Yicheng Hu, Victor M. Zavala:
Mitigating investment risk using modular technologies. Comput. Chem. Eng. 153: 107424 (2021) - [j41]Alexander D. Smith, Victor M. Zavala:
The Euler characteristic: A general topological descriptor for complex data. Comput. Chem. Eng. 154: 107463 (2021) - [j40]Qiugang Lu, Leonardo D. González, Ranjeet Kumar, Victor M. Zavala:
Bayesian optimization with reference models: A case study in MPC for HVAC central plants. Comput. Chem. Eng. 154: 107491 (2021) - [j39]Shengli Jiang, Zhuo Xu, Medhavi Kamran, Stas Zinchik, Paheding Sidike, Armando G. McDonald, Ezra Bar-Ziv, Victor M. Zavala:
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. Comput. Chem. Eng. 155: 107547 (2021) - [c15]Liuzixuan Lin, Victor M. Zavala, Andrew A. Chien:
Evaluating Coupling Models for Cloud Datacenters and Power Grids. e-Energy 2021: 171-184 - [i15]Shengli Jiang, Victor M. Zavala:
Convolutional Neural Nets: Foundations, Computations, and New Applications. CoRR abs/2101.04869 (2021) - [i14]Weiqi Zhang, Victor M. Zavala:
An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers. CoRR abs/2105.11416 (2021) - [i13]Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala:
A Unifying Modeling Abstraction for Infinite-Dimensional Optimization. CoRR abs/2106.12689 (2021) - [i12]Joshua L. Pulsipher, Victor M. Zavala:
A Mixed-Integer Conic Programming Formulation for Computing the Flexibility Index under Multivariate Gaussian Uncertainty. CoRR abs/2106.12702 (2021) - [i11]Joshua L. Pulsipher, Daniel Rios, Victor M. Zavala:
A Computational Framework for Quantifying and Analyzing System Flexibility. CoRR abs/2106.12706 (2021) - [i10]Joshua L. Pulsipher, Victor M. Zavala:
Measuring and Optimizing System Reliability: A Stochastic Programming Approach. CoRR abs/2106.12712 (2021) - 2020
- [j38]Mohammad-Reza Askari, Iman Hajizadeh, Mudassir M. Rashid, Nicole Hobbs, Victor M. Zavala, Ali Cinar:
Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes. Annu. Rev. Control. 50: 1-12 (2020) - [j37]Jose S. Rodriguez, Carl D. Laird, Victor M. Zavala:
Scalable preconditioning of block-structured linear algebra systems using ADMM. Comput. Chem. Eng. 133 (2020) - [j36]Caroline S. M. Nakama, Galo A. C. Le Roux, Victor M. Zavala:
Optimal constraint-based regularization for parameter estimation problems. Comput. Chem. Eng. 139: 106873 (2020) - [j35]Hui Tian, Jagadeesan Prakash, Victor M. Zavala, James A. Olson, R. Bhushan Gopaluni:
A tractable approximation for stochastic MPC and application to mechanical pulping processes. Comput. Chem. Eng. 141: 106977 (2020) - [j34]Sungho Shin, Victor M. Zavala, Mihai Anitescu:
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 7(3): 1225-1236 (2020) - [c14]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Constrained Quadratic Programs. CDC 2020: 3004-3009 - [i9]Qiugang Lu, Sungho Shin, Victor M. Zavala:
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. CoRR abs/2003.01028 (2020) - [i8]Sungho Shin, Alex D. Smith, Si-Zhao Joe Qin, Victor M. Zavala:
On the Convergence of the Dynamic Inner PCA Algorithm. CoRR abs/2003.05928 (2020) - [i7]Sungho Shin, Qiugang Lu, Victor M. Zavala:
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. CoRR abs/2003.07410 (2020) - [i6]Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR abs/2005.06674 (2020) - [i5]Qiugang Lu, Victor M. Zavala:
Image-Based Model Predictive Control via Dynamic Mode Decomposition. CoRR abs/2006.06727 (2020) - [i4]Qiugang Lu, Ranjeet Kumar, Victor M. Zavala:
MPC Controller Tuning using Bayesian Optimization Techniques. CoRR abs/2009.14175 (2020) - [i3]Haeun Yoo, Victor M. Zavala, Jay H. Lee:
Dynamic penalty function approach for constraints handling in reinforcement learning. CoRR abs/2012.11790 (2020)
2010 – 2019
- 2019
- [j33]Ranjeet Kumar, Michael J. Wenzel, Matthew J. Ellis, Mohammad N. ElBsat, Kirk H. Drees, Victor M. Zavala:
Hierarchical MPC schemes for periodic systems using stochastic programming. Autom. 107: 306-316 (2019) - [j32]Jordan Jalving, Yankai Cao, Victor M. Zavala:
Graph-based modeling and simulation of complex systems. Comput. Chem. Eng. 125: 134-154 (2019) - [j31]Joshua Pulsipher, Daniel Rios, Victor M. Zavala:
A computational framework for quantifying and analyzing system flexibility. Comput. Chem. Eng. 126: 342-355 (2019) - [j30]Yue Shao, Victor M. Zavala:
Space-time dynamics of electricity markets incentivize technology decentralization. Comput. Chem. Eng. 127: 31-40 (2019) - [j29]Joshua Pulsipher, Victor M. Zavala:
A scalable stochastic programming approach for the design of flexible systems. Comput. Chem. Eng. 128: 69-76 (2019) - [j28]Apoorva M. Sampat, Yicheng Hu, Mahmoud Sharara, Horacio Aguirre-Villegas, Gerardo J. Ruiz-Mercado, Rebecca A. Larson, Victor M. Zavala:
Coordinated management of organic waste and derived products. Comput. Chem. Eng. 128: 352-363 (2019) - [j27]Aurora del Carmen Munguía-López, Apoorva M. Sampat, Eusiel Rubio-Castro, José María Ponce-Ortega, Victor M. Zavala:
Fairness-guided design of water distribution networks for agricultural lands. Comput. Chem. Eng. 130 (2019) - [j26]Yankai Cao, Victor M. Zavala:
A scalable global optimization algorithm for stochastic nonlinear programs. J. Glob. Optim. 75(2): 393-416 (2019) - [j25]Sungho Shin, Ophelia S. Venturelli, Victor M. Zavala:
Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. PLoS Comput. Biol. 15(3) (2019) - [j24]Kibaek Kim, Cosmin G. Petra, Victor M. Zavala:
An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM J. Optim. 29(1): 318-342 (2019) - [j23]Sungho Shin, Philip Hart, Thomas Jahns, Victor M. Zavala:
A Hierarchical Optimization Architecture for Large-Scale Power Networks. IEEE Trans. Control. Netw. Syst. 6(3): 1004-1014 (2019) - [c13]Sungho Shin, Timm Faulwasser, Mario Zanon, Victor M. Zavala:
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. CDC 2019: 5264-5271 - [i2]Weiqi Zhang, Line A. Roald, Andrew A. Chien, John R. Birge, Victor M. Zavala:
Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links. CoRR abs/1910.05443 (2019) - 2018
- [j22]Alexander W. Dowling, Victor M. Zavala:
Economic opportunities for industrial systems from frequency regulation markets. Comput. Chem. Eng. 114: 254-264 (2018) - [j21]Joshua Pulsipher, Victor M. Zavala:
A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty. Comput. Chem. Eng. 119: 302-308 (2018) - [j20]Jose S. Rodriguez, Bethany Nicholson, Carl D. Laird, Victor M. Zavala:
Benchmarking ADMM in nonconvex NLPs. Comput. Chem. Eng. 119: 315-325 (2018) - [j19]Bethany Nicholson, John D. Siirola, Jean-Paul Watson, Victor M. Zavala, Lorenz T. Biegler:
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations. Math. Program. Comput. 10(2): 187-223 (2018) - [j18]Kibaek Kim, Victor M. Zavala:
Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs. Math. Program. Comput. 10(2): 225-266 (2018) - [j17]Frank E. Curtis, Andreas Wächter, Victor M. Zavala:
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM J. Optim. 28(1): 930-958 (2018) - [c12]Ranjeet Kumar, Michael J. Wenzel, Matthew J. Ellis, Mohammad N. ElBsat, Kirk H. Drees, Victor M. Zavala:
Handling Long Horizons in MPC: A Stochastic Programming Approach. ACC 2018: 715-720 - 2017
- [j16]Yankai Cao, Luis Fabián Fuentes-Cortés, Siyu Chen, Victor M. Zavala:
Scalable modeling and solution of stochastic multiobjective optimization problems. Comput. Chem. Eng. 99: 185-197 (2017) - [j15]Apoorva M. Sampat, Edgar Martin, Mariano Martín, Victor M. Zavala:
Optimization formulations for multi-product supply chain networks. Comput. Chem. Eng. 104: 296-310 (2017) - [j14]Victor M. Zavala, Kibaek Kim, Mihai Anitescu, John R. Birge:
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Oper. Res. 65(3): 557-576 (2017) - [j13]Naiyuan Chiang, Rui Huang, Victor M. Zavala:
An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. IEEE Trans. Autom. Control. 62(12): 6110-6121 (2017) - [c11]Mihai Anitescu, Victor M. Zavala:
MPC as a DVI: Implications on sampling rates and accuracy. CDC 2017: 1933-1938 - 2016
- [j12]Alexander W. Dowling, Gerardo J. Ruiz-Mercado, Victor M. Zavala:
A framework for multi-stakeholder decision-making and conflict resolution. Comput. Chem. Eng. 90: 136-150 (2016) - [j11]Naiyuan Chiang, Victor M. Zavala:
An inertia-free filter line-search algorithm for large-scale nonlinear programming. Comput. Optim. Appl. 64(2): 327-354 (2016) - [j10]Yankai Cao, Carl D. Laird, Victor M. Zavala:
Clustering-based preconditioning for stochastic programs. Comput. Optim. Appl. 64(2): 379-406 (2016) - [c10]Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala, James A. Olson:
Economic nonlinear model predictive control for mechanical pulping processes. ACC 2016: 1796-1801 - [c9]Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala:
Multiobjective economic model predictive control of mechanical pulping processes. CDC 2016: 4040-4045 - [i1]Kibaek Kim, Fan Yang, Victor M. Zavala, Andrew A. Chien:
Data Centers as Dispatchable Loads to Harness Stranded Power. CoRR abs/1606.00350 (2016) - 2015
- [c8]Jia Kang, Naiyuan Chiang, Carl D. Laird, Victor M. Zavala:
Nonlinear programming strategies on high-performance computers. CDC 2015: 4612-4620 - 2014
- [j9]Victor M. Zavala:
Stochastic optimal control model for natural gas networks. Comput. Chem. Eng. 64: 103-113 (2014) - [j8]Victor M. Zavala, Mihai Anitescu:
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM J. Optim. 24(1): 528-558 (2014) - [c7]Ketan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor M. Zavala, Michael Wilde:
Evaluating storage systems for scientific data in the cloud. ScienceCloud@HPDC 2014: 33-40 - [c6]Naiyuan Chiang, Cosmin G. Petra, Victor M. Zavala:
Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. PSCC 2014: 1-7 - 2012
- [j7]Victor M. Zavala, Antonio Flores-Tlacuahuac:
Stability of multiobjective predictive control: A utopia-tracking approach. Autom. 48(10): 2627-2632 (2012) - 2011
- [c5]Aswin Kannan, Victor M. Zavala:
A game-theoretical model predictive control framework for electricity markets. Allerton 2011: 1280-1285 - [c4]Victor M. Zavala, Mihai Anitescu:
New insights into the dynamic stability of wholesale electricity markets. CACSD 2011: 828-833 - [c3]Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala:
Scalable stochastic optimization of complex energy systems. SC 2011: 64:1-64:64 - 2010
- [j6]Victor M. Zavala:
Stability analysis of an approximate scheme for moving horizon estimation. Comput. Chem. Eng. 34(10): 1662-1670 (2010) - [j5]Victor M. Zavala, Mihai Anitescu:
Real-Time Nonlinear Optimization as a Generalized Equation. SIAM J. Control. Optim. 48(8): 5444-5467 (2010) - [c2]Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Victor M. Zavala:
Advances in moving horizon estimation for nonlinear systems. CDC 2010: 5681-5688 - [c1]Victor M. Zavala, Mihai Anitescu:
Achieving higher frequencies in large-scale nonlinear model predictive control. CDC 2010: 6119-6124
2000 – 2009
- 2009
- [j4]Victor M. Zavala, Lorenz T. Biegler:
The advanced-step NMPC controller: Optimality, stability and robustness. Autom. 45(1): 86-93 (2009) - [j3]Victor M. Zavala, Lorenz T. Biegler:
Optimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation. Comput. Chem. Eng. 33(1): 379-390 (2009) - [j2]Lorenz T. Biegler, Victor M. Zavala:
Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization. Comput. Chem. Eng. 33(3): 575-582 (2009) - [j1]Victor M. Zavala, Lorenz T. Biegler:
Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control. Comput. Chem. Eng. 33(10): 1735-1746 (2009)
Coauthor Index
Joshua Pulsipher
aka: Joshua L. Pulsipher
aka: Joshua L. Pulsipher
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