Victor M. Zavala

According to our database1, Victor M. Zavala authored at least 47 papers between 2009 and 2020.

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Bibliography

2020
Scalable preconditioning of block-structured linear algebra systems using ADMM.
Computers & Chemical Engineering, 2020

2019
A Hierarchical Optimization Architecture for Large-Scale Power Networks.
IEEE Trans. Control of Network Systems, 2019

An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming.
SIAM Journal on Optimization, 2019

A scalable global optimization algorithm for stochastic nonlinear programs.
J. Global Optimization, 2019

Flexibility from Networks of Data Centers: A Market Clearing Formulation with Virtual Links.
CoRR, 2019

Space-time dynamics of electricity markets incentivize technology decentralization.
Computers & Chemical Engineering, 2019

Coordinated management of organic waste and derived products.
Computers & Chemical Engineering, 2019

A scalable stochastic programming approach for the design of flexible systems.
Computers & Chemical Engineering, 2019

A computational framework for quantifying and analyzing system flexibility.
Computers & Chemical Engineering, 2019

Fairness-guided design of water distribution networks for agricultural lands.
Computers & Chemical Engineering, 2019

Graph-based modeling and simulation of complex systems.
Computers & Chemical Engineering, 2019

Hierarchical MPC schemes for periodic systems using stochastic programming.
Autom., 2019

2018
A Sequential Algorithm for Solving Nonlinear Optimization Problems with Chance Constraints.
SIAM Journal on Optimization, 2018

pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations.
Math. Program. Comput., 2018

Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs.
Math. Program. Comput., 2018

Benchmarking ADMM in nonconvex NLPs.
Computers & Chemical Engineering, 2018

A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty.
Computers & Chemical Engineering, 2018

Economic opportunities for industrial systems from frequency regulation markets.
Computers & Chemical Engineering, 2018

Handling Long Horizons in MPC: A Stochastic Programming Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization.
IEEE Trans. Automat. Contr., 2017

A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties.
Operations Research, 2017

Optimization formulations for multi-product supply chain networks.
Computers & Chemical Engineering, 2017

Scalable modeling and solution of stochastic multiobjective optimization problems.
Computers & Chemical Engineering, 2017

MPC as a DVI: Implications on sampling rates and accuracy.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Data Centers as Dispatchable Loads to Harness Stranded Power.
CoRR, 2016

An inertia-free filter line-search algorithm for large-scale nonlinear programming.
Comp. Opt. and Appl., 2016

Clustering-based preconditioning for stochastic programs.
Comp. Opt. and Appl., 2016

A framework for multi-stakeholder decision-making and conflict resolution.
Computers & Chemical Engineering, 2016

Multiobjective economic model predictive control of mechanical pulping processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Economic nonlinear model predictive control for mechanical pulping processes.
Proceedings of the 2016 American Control Conference, 2016

2015
Nonlinear programming strategies on high-performance computers.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods.
SIAM Journal on Optimization, 2014

Stochastic optimal control model for natural gas networks.
Computers & Chemical Engineering, 2014

Structured nonconvex optimization of large-scale energy systems using PIPS-NLP.
Proceedings of the 2014 Power Systems Computation Conference, 2014

Evaluating storage systems for scientific data in the cloud.
Proceedings of the ScienceCloud'14, 2014

2012
Stability of multiobjective predictive control: A utopia-tracking approach.
Autom., 2012

2011
Scalable stochastic optimization of complex energy systems.
Proceedings of the Conference on High Performance Computing Networking, 2011

New insights into the dynamic stability of wholesale electricity markets.
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011

A game-theoretical model predictive control framework for electricity markets.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Real-Time Nonlinear Optimization as a Generalized Equation.
SIAM J. Control and Optimization, 2010

Stability analysis of an approximate scheme for moving horizon estimation.
Computers & Chemical Engineering, 2010

Achieving higher frequencies in large-scale nonlinear model predictive control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Advances in moving horizon estimation for nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control.
Computers & Chemical Engineering, 2009

Optimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation.
Computers & Chemical Engineering, 2009

Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization.
Computers & Chemical Engineering, 2009

The advanced-step NMPC controller: Optimality, stability and robustness.
Autom., 2009


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