Journal Publications

  • Tominac PA, Zhang W, Zavala VM. Spatio-Temporal Economic Properties of Multi-Product Supply Chains. In Review, 2021. [link]

  • Pulsipher, J.L., Zhang, W., Hongisto, T., and Zavala, V.M. A Unifying Modeling Abstraction for Infinite-Dimensional Optimization. Under Review, 2021 [link]

  • Zhang W. and Zavala,,V.M. An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers. Under Review, 2021 [link]

  • Ma, J., Tominac, P., Plfeger, B.F., Zavala, V.M. Infrastructures for Phosphorus Recovery from Livestock Waste using Cyanobacteria: Transportation, Techno-Economic, and Policy Implications. Under Review, 2021.

  • Jiang S., Xu Z., Kamran M., Zinchik S., Paheding S., McDonald A., Bar-Ziv E., and Zavala V.M. Using ATR-FTIR Spectra and Convolutional Neural Networks for Characterizing Mixed Plastic Waste. Under Review, 2021 [link]

  • Zhang W., Kim K., and Zavala, V.M. On the Tightness and Scalability of the Lagrangian Dual Bound for the Alternating Current Optimal Power Flow Problem. Under Review, 2021 [link]

  • Qin, S., Jin, T., Van Lehn, R.C., and Zavala, V.M. Predicting Critical Micelle Concentrations for Surfactants using Graph Convolutional Neural Networks. Under Review, 2021 [link]

  • Gonzalez, L., Lu, Q., Kumar, R., and Zavala, V.M. Bayesian Optimization with Reference Models: A Case Study in MPC for HVAC Systems. Under Review, 2021 [link]

  • Smith, A.D.. and Zavala, V.M. The Euler Characteristic: A General Topological Descriptor for Complex Data, Under Review, 2021 [link]

  • Shin, S., Anitescu, M. and Zavala, V.M. Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs, Under Review, 2021 [link]

  • Shao, Y. and Zavala, V.M. Mitigating Investment Risk Using Modular Technologies, Under Review, 2020 [link]

  • Lu, Q. and Zavala, V.M. Image-based Model Predictive Control via Dynamic Mode Decomposition, Under Review, 2020 [link]

  • Jalving, J., Shin, S., Zavala, V.M. A Graph-Based Modeling Abstraction for Optimization: Concepts and Implementation in Plasmo.jl, Under Review, 2020 [pdf]

  • Na, S., Shin, S., Anitescu, M., Zavala, V.M. Overlapping Schwarz Decomposition for Nonlinear Optimal Control. Under Review, 2020. [link]

  • Shin, S., Lu, Q., and Zavala, V.M. Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition, Under Review, 2020. [link]

  • Shin, S. and Zavala, V.M., Diffusing-Horizon Model Predictive Control, Under Review, 2020. [link]

  • Román, A., Qin, S., Zavala, V.M., and Osswald, T. Neural Network Feature and Architecture Optimization for Injection Molding Surface Defect Prediction of Model. Polymer Engineering & Science. In Press, 2021 [link]

  • Jiang, S. and Zavala, V.M. Convolutional Neural Nets: Foundations, Computations, and New Applications, AIChE Journal, In Press, 2021 [link]

  • Tominac, P., Aguirre-Villegas, H., Sanford, J., Larson, R., Zavala, V., Evaluating landfill diversion strategies for municipal waste management using environmental and economic factors. 2020. ACS Sus Chem Eng, 2021; 9(1): 489–498. [link]

  • Jiang, S. Noh, J., Park, C., Smith, A. Abbott, N., and Zavala, V.M. Identification of Endotoxins from Bacterial Species using Liquid Crystal Droplets and Machine Learning, In Press, Analyst, 2020 [link].

  • Del Carmen Munguía-López, A., Zavala, V. M., Santibañez-Aguilar, J. E., and Ponce-Ortega, J. M. Optimization of Municipal Solid Waste Management using a Coordinated Framework. Waste Management, 115, 15-24, 2020. [link]

  • Kumar, R., Wenzel, M.J., ElBsat, M.N., Risbeck, M.J., Drees, K.H., and Zavala, V.M. Dual Dynamic Programming for Multi-Scale Mixed-Integer MPC. Computers and Chemical Engineering, 148, pp. 107265, 2021. [link]

  • Verrett, J., Boukouvala, F., Dowling, A., Ulissi, Z., and Zavala, V. M. Computational Notebooks in Chemical Engineering Curricula. Chemical Engineering Education, 54(3), 143-150, 2020. [link]

  • Sampat, A.M., Hicks, A., Ruiz-Mercado, G., and Zavala, V.M. Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste. Resources, Conservation & Recycling, 164, 105199, pp. 1-10, 2021. [link]

  • Tominac, P. and Zavala, V.M. Economic Properties of Multi-Product Supply Chains, In Press, Comput Chem Eng. 2021; 145: 107157 [link]

  • Martins Nakama, Caroline, Carrillo Le Roux, Galo, Zavala, V. M. Optimal Constraint-Based Regularization for Parameter Estimation Problems, In Press, Computers & Chemical Engineering, 2020. [pdf]

  • Sampat, A. M., Kumar, R., Pushpangatha Kurup, R., Chiu, K., Saucedo, V. M., and Zavala, V. M. Multi-Site Supply Planning for Drug Products Under Uncertainty. AIChE Journal, e17069, pp. 1-14, 2020. [link]

  • Munguía-López, A., Zavala, V. M., Santibañez-Aguilar, J. E., & Ponce-Ortega, J. M. Optimization of municipal solid waste management using a coordinated framework. Waste Management, 115, 15-24, 2020. [link]

  • Smith, A., Abbott, N.L., and Zavala, V.M. Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors. In Press, Journal of Physical Chemistry C, 2020. [pdf]

  • Kumar, R., Wenzel, M.J., ElBsat, M.N., Risbeck, M.J., Drees, K.H., and Zavala, V.M. Stochastic Model Predictive Control for Central HVAC Plants. Journal of Process Control, 90, pp. 1-17, 2020. [link]

  • Cao, Y., Lee, S., Subramanian, V., and Zavala, V.M., Multiscale Model Predictive Control of Battery Systems for Frequency Regulation Markets using Physics-Based Models. In Press, Journal of Process Control, 2020. [link]

  • Shao, Y., and Zavala, V.M. Modularity Measures: Concepts, Computation and Applications to Manufacturing Systems. AIChE, In Press, 2020. [pdf]

  • Pulsipher, J.L. and Zavala, V.M., Measuring and Optimizing System Reliability: A Stochastic Programming Approach. TOP, 28, pp. 626–645, 2020. [link]

  • Hu, Y., Sampat, A.M., Ruiz-Mercado, G., and Zavala, V.M., Logistics Network Management of Livestock Waste for Spatiotemporal Control of Nutrient Pollution in Water Bodies. ACS Sustainable Chemistry & Engineering, 7(22), pp. 18359-18374, 2019. [link]

  • Smith, A., Keane, A., Huber, G., Dumesic, J., Zavala, V.M. Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data. Applied Catalysis B, 263, pp.118257, 2020. [link]

  • Shin, S., Zavala, V.M., and Anitescu, M. Decentralized Schemes with Overlap for Solving Graph-Structured Optimization Problems. IEEE Transactions on Control of Network Systems, 2020. [link]

  • Munguia-Lopez, A., Sampat, A.M., Ponce-Ortega, J.M., and Zavala, V.M., Fairness-Guided Design of Water Distribution Networks for Agricultural Lands. Computers & Chemical Engineering, 130, 106547, 2019. [link]

  • López-Díaz, D.C., Hu, Y., Chan, W., Ponce-Ortega, J.M., and Zavala, V.M., Systems-Level Analysis of Phosphorus Flows in the Dairy Supply Chain. ACS Sustainable Chemistry and Engineering, 7(20), pp.17074-17087, 2019. [link]

  • Sampat, A.M. and Zavala, V.M., Fairness Measures for Decision-Making and Conflict Resolution. Optimization and Engineering, pp. 1-24, 2019. [link]

  • Sampat, A.M., Hu, Y., Sharara, M., Aguirre-Villegas, H., Ruiz-Mercado, G., Larson, R.A., and Zavala, V.M. Coordinated Management of Organic Waste and Derived Products. Computers & Chemical Engineering, 128, pp. 352-363, 2019. [link]

  • Rodriguez, S., Laird, C.D., and Zavala, V. M. Scalable Preconditioning of Block-Structured Linear Algebra Systems using ADMM. Computers & Chemical Engineering, In Press, 2019. [link]

  • Pulsipher, J.L. and Zavala, V.M., A Scalable Stochastic Programming Approach for the Design of Flexible Systems, Computers & Chemical Engineering, 128, pp. 69-76, 2019 [link]

  • Shao, Y., and Zavala, V.M., Space-Time Dynamics of Electricity Markets Incentivize Technology Decentralization. Computers & Chemical Engineering, 127, pp. 31-40, 2019. [link]

  • Kumar, R., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. Hierarchical MPC Schemes for Periodic Systems using Stochastic Programming, Automatica, 107, pp. 306-316, 2019. [link]

  • Pulsipher, J.L., Rios, D., and Zavala, V.M., A Computational Framework for Quantifying and Analyzing System Flexibility, Computers & Chemical Engineering, 126, pp. 342 - 355, 2019. [link]

  • Tian, H., Lu, Q., Gopaluni, R. B., Zavala, V. M. and Olson, J. A. An Economic Model Predictive Control Framework for Mechanical Pulping Processes. Control Engineering Practice, 85, pp. 100 - 109, 2019. [link]

  • Jalving, J., Cao, Y., and Zavala, V.M., Graph-Based Modeling and Simulation of Complex Systems. Computers & Chemical Engineering, 125, pp. 134-154, 2019. [link]

  • Shin, S., Hart, P., Jahns, T. and Zavala, V.M. A Hierarchical Optimization Architecture for Large-Scale Power Networks. IEEE Transactions on Control of Network Systems, 6(3):1004–1014, 2019. [link]

  • Shin, S., Venturelli, O., and Zavala, V.M. Scalable Nonlinear Programming Framework for Parameter Estimation in Dynamic Biological System Models. PLOS Computational Biology, 15(3), e1006828, 2019. [link]

  • Kumar, R., Jalving, J., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. Benchmarking Stochastic and Deterministic MPC: A Case Study in Stationary Battery Systems, AIChE Journal, 65, pp. 1-16, 2019. [link]

  • Cao, Y., and Zavala, V.M. A Scalable Global Optimization Algorithm for Stochastic Nonlinear Programs. Journal of Global Optimization, 1, pp. 1-24, 2019. [link]

  • Sorourifar, F., Zavala, V.M., and Dowling, A.W. Optimal Integrated Design, Market Participation, and Replacement Strategies for Battery Energy Storage Systems, IEEE Transactions on Sustainable Energy, In Press, 2019. [link]

  • Kim, K., Petra, C.G., and Zavala, V.M. An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM Journal on Optimization, 29, pp. 318–342, 2019. [link]

  • Cao, Y., Yu, H., Abbott, N.L., and Zavala, V.M. Machine Learning Algorithms for Liquid Crystals-Based Sensors. ACS Sensors, 3, pp. 2237-2245, 2018. [link]

  • Pulsipher, J., Zavala, V.M. A Mixed-Integer Conic Programming Formulation for Computation of the Flexibility Index under Multivariate Gaussian Uncertainty, Computers & Chemical Engineering, 119 (2), pp. 302-308, 2018 [link]

  • Rodriguez, S., Nicholson, B., Laird, C.D., and Zavala, V. M. Benchmarking ADMM in Nonconvex NLPs. Computers & Chemical Engineering, 119, pp. 315-325, 2018. [link]

  • Tovar-Facio, J., Cao, Y., Ponce-Ortega, J.M., and Zavala, V. M. Scalable Solution Strategies for Chance-Constrained Nonlinear Programs. Ind. & Eng. Chem. Res., 57 (23), pp. 7987–7998, 2018. [link]

  • Sampat, A., Martin, E., Martin, M., and Zavala, V.M. Technologies and Logistics for Phosphorus Recovery from Livestock Waste. Clean Technologies and Environmental Policy, pp.1-17, 2018. [link]

  • Hu, Y., Scarborough, M., Aguirre-Villegas, H., Larson, R.A., Noguera, D.R. and Zavala, V.M. A Supply Chain Framework for the Analysis of the Recovery of Biogas and Fatty Acids from Organic Waste. ACS Sustainable Chemistry and Engineering, 6 (5), pp. 6211–6222, 2018. [link]

  • Sampat, A., Ruiz-Mercado, G., and Zavala, V.M. Economic and Environmental Analysis for Advancing Sustainable Management of Livestock Waste: A Wisconsin Case Study. ACS Sustainable Chemistry and Engineering, 6 (5), pp. 6018–6031, 2018. [link]

  • Jalving, J. and Zavala, V.M. An Optimization-Based State Estimation Framework for Large-Scale Natural Gas Networks. Ind. & Eng. Chem. Res., 57 (17), pp 5966–5979, 2018. [link]

  • Martin, E., Sampat, A., Zavala, V.M., and Martin, M. Optimal Integrated Facility for Waste Processing. Chem. Eng. Res. & Design, 131, pp. 160-182, 2018. [link]

  • Dowling, A. W. and Zavala, V.M. A Decomposition Algorithm for Simultaneous Scheduling and Control of CSP Systems. AIChE Journal, 67(4), pp. 2408-2417, 2018. [link]

  • Curtis, F.E., Waechter, A., and Zavala, V. M. A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints. SIAM Journal on Optimization, 28(1), pp. 930-958, 2018. [link]

  • Dowling, A.W. and Zavala, V.M. Economic Opportunities for Industrial Systems from Frequency Regulation Markets, Computers & Chemical Engineering, 114(9), pp. 254-264, 2017. [link]

  • Kumar, R., Wenzel, M.J., Ellis, M.J., ElBsat, M.N., Drees, K.H. and Zavala, V.M. A Stochastic Model Predictive Control Framework for Stationary Battery Systems, IEEE Transactions on Power Systems, 33(4), pp. 4397-4406, 2018. [link]

  • Nicholson, B., Siirola, J., Watson, J.P., Zavala, V. M., and Biegler, L.T. pyomo.dae: A Modeling and Automatic Discretization Framework for Optimization with Differential and Algebraic Equations. Mathematical Programming Computation, 10(2), pp. 187-223, 2018. [link]

  • Fuentes-Cortes, L.F., Ponce-Ortega, J.M., and Zavala, V. M. Balancing Stakeholder Priorities in the Operation of Combined Heat and Power Systems. Applied Thermal Energy, 128, pp. 480-488, 2018. [link]

  • Renteria J.A., Cao, Y., Dowling, A. W. and Zavala, V.M. Optimal PID Controller Tuning using Stochastic Programming Techniques. AIChE Journal, 64(8), pp. 2997-3010, 2017. [link]

  • Sampat, A., Martin, E., Martin, M., and Zavala, V.M. Optimization Formulations for Multi-Product Supply-Chain Networks. Computers & Chemical Engineering, 104C, pp. 296-310, 2017. [link]

  • Sharara, M., Sampat, A., Good, L., Smith, A., Porter, P., Zavala, V.M., and Larson, R. Spatially explicit methodology for coordinated manure management in shared watersheds. Journal of Environmental Management, 192, pp. 48-56, 2017. [link]

  • Santos-Rodriguez, M., Flores-Tlacuahuac, A. and Zavala, V. M. A Stochastic Optimization Approach for the Design of Organic Fluid Mixtures for Low-Temperature Heat Recovery. Applied Energy, 198, pp. 145-159, 2017. [link]

  • Chiang, N., Huang, R. and Zavala, V. M. An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. IEEE Transactions on Automatic Control, 62 (12), pp. 6110-6121, 2017. [link]

  • Yu, J., Zavala, V. M., and Anitescu, M. A Scalable Design of Experiments Framework for Sensor Placement. Journal of Process Control, In Press, 2017. [link]

  • Kim, K. and Zavala, V. M. Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs. Mathematical Programming Computation, 10(2), pp. 225–266, 2018. [link]

  • Fuentes-Cortes, L.F., Ma, Y., Ponce-Ortega, J.M., and Zavala, V. M. Valuation of Water and Emissions in Energy Systems. Applied Energy, 210, pp. 518-528, 2018. [link]

  • Jalving, J., Abhyankar, S., Kim, K., Hereld, M., Zavala, V. M. A Graph-Based Computational Framework for Simulation and Optimization of Coupled Infrastructure Networks. IET Generation, Transmission & Distribution, 11, pp. 3163-3176, 2017. [link]

  • Griffith, D., Zavala, V. M., and Biegler, L.T. Robustly Stable Economic NMPC for Non-Dissipative Stage Costs. Journal Of Process Control, 57, pp. 116-126, 2017. [link]

  • Cao, Y., Fuentes-Cortes, L.F., Chen, S., and Zavala, V. M. Scalable Modeling and Solution of Stochastic Multiobjective Optimization Problems. Computers & Chemical Engineering, 99, pp. 185-197, 2017. [link]

  • Dowling, A. W., Kumar, R., Zavala, V.M. A Multi-Scale Optimization Framework for Electricity Market Participation. Applied Energy, 190, pp. 147-164, 2017. [link]

  • Dowling, A. W., Zheng, T., and Zavala, V. M. Economic Assessment of Concentrated Solar Power Technologies: A Review. Renewable & Sustainable Energy Reviews, 72, pp. 1019-1032, 2017. [link]

  • Kim, K., Yang, F., Zavala, V. M., and Chien, A. A. Data Centers as Dispatchable Loads to Harness Stranded Power. 8(1), pp. 208-218, 2017. [link]

  • Zavala, V. M.; Kim, K. Anitescu, M. and Birge, J. A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Operations Research, 65(3), pp. 557-576, 2017. [link]

  • Dowling, A.W., Ruiz-Mercado, G. and Zavala, V. M. A Framework for Multi-stakeholder Decision-Making and Conflict Resolution. Computers & Chemical Engineering, 90, pp. 136 - 150, 2016. [link]

  • Petra, C.G., Zavala, V. M., Nino-Ruiz, E. and Anitescu, M. A High-Performance Computing Framework for Analyzing the Economic Impacts of Wind Correlation. Electric Power Systems Research, 141, pp. 372-380, 2016. [link]

  • Fuentes-Cortes, L.F., Dowling, A. W., Rubio,-Maya, C., Zavala, V. M., and Ponce-Ortega, J.M. Integrated Design and Control of Multigeneration Systems for Building Complexes. Energy, 116(2), pp. 1403-1416, 2016. [link]

  • Lopez-Cardenas, D.C., Wozny, G., Flores-Tlacuahuac, A., Vazquez-Medrano, R., and Zavala, V. M. A Computational Framework for Identifiability and Ill-Conditioning Analysis of Lithium-Ion Battery Models. IEC&R, 55 (11), pp. 3026–3042, 2016. [link]

  • Chiang, N. and Zavala, V. M. Large-Scale Optimal Control of Interconnected Natural Gas and Electrical Transmission Systems. Applied Energy, 168, pp. 226-235, 2016. [link]

  • Cao, Y.; Laird. C.D. and Zavala, V. M. Clustering-Based Preconditioning for Stochastic Programs. Computational Optimization and Applications, 64(2), pp. 379-406, 2016. [link]

  • Chiang, N. and Zavala, V. M. An Inertia-Free Filter Line-Search Algorithm for Large-Scale Nonlinear Programming. Computational Optimization and Applications, 64(2), pp. 327-354, 2016. [link]

  • Gangammanavar, H.; Sen, S. and Zavala, V. M. Stochastic Optimization of Sub-Hourly Economic Dispatch With Wind Energy. IEEE Transactions on Power Systems, 31(2), pp. 949-959, 2016. [link]

  • Morales, P.; Flores-Tlacuahuac, A. and Zavala, V. M. Analyzing the Effects of Comfort Relaxation on Energy Demand Flexibility of Buildings: A Multiobjective Optimization Approach. Energy & Buildings, 85, pp. 416-426, 2014.[link]

  • Burkhart, M. C.; Heo, Y. and Zavala, V. M. Measurement and Verification of Building Systems Under Uncertain Data: A Gaussian Process Modeling Approach. Energy & Buildings, 75, pp. 189-198, 2014. [link]

  • Zavala, V. M. Stochastic Optimal Control Model for Natural Gas Networks. Computers & Chemical Engineering, 64(1), pp. 103-113, 2014. [link]

  • Zavala, V. M. and Anitescu, M. Scalable Nonlinear Programming Via Exact Differentiable Penalty Functions and Trust-Region Newton Methods. SIAM Journal on Optimization, 24(1), pp. 528-558, 2014. [link]

  • Zavala, V. M. Inference of Building Occupancy Signals Using Moving Horizon Estimation and Fourier Regularization. Journal of Process Control, 24(6), pp. 714-722, 2014. [link]

  • Salazar, J.M.; Diwekar, U.; Constantinescu, E.M. and Zavala, V. M. Stochastic Optimization Approach to Water Management in Cooling-Constrained Power Plants. Applied Energy, 112, pp. 12-22, 2013. [link]

  • Zavala, V. M. Real-Time Optimization Strategies for Building Systems. Ind.Eng.Chem.Res. 52(9), pp. 3137-3150, 2013. [link]

  • Heo, Y. and Zavala, V. M. Gaussian Process Modeling for Measurement and Verification of Building Energy Savings. Energy & Buildings, 53, pp.7-18, 2012. [link]

  • Zavala, V. M. and Flores-Tlacuahuac, A. Stability of Multiobjective Predictive Control: A Utopia-Tracking Approach. Automatica, 48(10), pp. 2627-2632, 2012. [link]

  • Zavala, V. M.; and Anitescu, M. Real-Time Nonlinear Optimization as a Generalized Equation. SIAM J. Control and Optimization, 48, pp. 5444-5454, 2010. [link]

  • Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; and Anitescu, M. A Computational Framework for Uncertainty Quantification and Stochastic Optimization in Unit Commitment with Wind Power Generation. IEEE Transactions on Power Systems, 26(1), pp. 431-441, 2010. [link]

  • Zavala, V. M. Stability Analysis of an Approximate Scheme for Moving Horizon Estimation. Comp. Chem. Eng., 34(10), pp. 1662-1670, 2010. [link]

  • Zavala, V. M.; Constantinescu, E. M.; Krause, T.; and Anitescu, M. On-Line Economic Optimization of Energy Systems Using Weather Forecast Information. Journal of Process Control, 19(10), pp. 1725-1736, 2009. [link]

  • Zavala, V. M.; and Biegler, L.T. Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Nonlinear Model Predictive Control. Comp. Chem. Eng., 33(10), pp. 1735-1746, 2009. [link]

  • Huang, R.; Zavala, V. M.; and Biegler, L.T. Advanced Step Nonlinear Model Predictive Control for Air Separation Units. Journal of Process Control, 19 (4), pp. 678-685, 2009. [link]

  • Biegler, L.T.; and Zavala V.M. Large-Scale Nonlinear Programming with IPOPT: An Integrating Framework for Enterprise-Wide Optimization. Comp.Chem.Eng. 33(3), pp. 575-582, 2009. [link]

  • Zavala, V. M.; and Biegler, L.T. Optimization-Based Strategies for the Operation of Low-Density Polyethylene Tubular Reactors: Moving Horizon Estimation. Comp.Chem.Eng. 33(1), pp. 379-390, 2009.[link]

  • Zavala, V. M.; and Biegler, L.T. The Advanced Step NMPC Controller: Optimality, Stability and Robustness. Automatica, 45(1), pp. 86-93, 2009. [link]

  • Zavala V.M.; Laird, C.D. and Biegler, L.T. A Fast Moving Horizon Estimation Algorithm Based on Nonlinear Programming Sensitivity. Journal of Process Control, 18 (9), pp. 876-884, 2008. [link]

  • Zavala, V. M.; Laird, C.D. and Biegler, L.T. Interior-Point Point Decomposition Approaches for Parallel Solution of Large-Scale Nonlinear Parameter Estimation Problems. Chem. Eng. Sci. 63 (19), pp. 4834-4845, 2008. [link]

  • Zavala, V. M.; Laird, C.D. and Biegler, L.T. Fast Implementations and Rigorous Models: Can Both be Accommodated in NMPC? Int. J. Robust Nonlinear Control. 18 (8), pp.800-815, 2008. [link]

  • Zavala, V. M. and Biegler, L.T. Large-Scale Parameter Estimation in Low-Density Polyethylene Tubular Reactors. Ind. Eng. Chem. Res. 45 (23), pp. 7867 -788, 2006. [link]

  • Zavala, V. M.; Flores-Tlacuahuac, A. and Vivaldo-Lima, E. The Bifurcation Behavior of a Polyurethane Continuous Stirred Tank Reactor. Chem. Eng. Sci. 61 (22), pp. 7368-7385, 2006. [link]

  • Zavala, V. M.; Flores-Tlacuahuac, A. and Vivaldo-Lima, E. Dynamic Optimization of a Semi-Batch Reactor for Polyurethane Production. Chem. Eng. Sci. 60 (11), pp. 3061-3079, 2005. [link]

  • Flores-Tlacuahuac, A.; Zavala, V. M. and Saldivar-Guerra E. Complex Nonlinear Behavior in the Full-Scale High-Impact Polystyrene Process. Ind.Eng.Chem. Res. 44 (8), pp. 2802-2814, 2005. [link]