Joshua L. Pulsipher

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription. CoRR Carlos Andrés Elorza Casas, Luis A. Ricardez-Sandoval, Joshua L. Pulsipher
2025	J	`jnl`	A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision. CoRR Leonardo D. González, Joshua L. Pulsipher, Shengli Jiang, Tyler A. Soderstrom, Victor M. Zavala
2025	J	`jnl`	A comparison of strategies to embed physics-informed neural networks in nonlinear model predictive control formulations solved via direct transcription. Comput. Chem. Eng. Carlos Andrés Elorza Casas, Luis A. Ricardez-Sandoval, Joshua L. Pulsipher
2025	J	`jnl`	A digital twin simulator of a pastillation process with applications to automatic control based on computer vision. Comput. Chem. Eng. Leonardo D. González, Joshua L. Pulsipher, Shengli Jiang, Angan Mukherjee, Tyler A. Soderstrom, Victor M. Zavala
2025	J	`jnl`	Event Constrained Programming. CoRR Daniel Ovalle, Stefan Mazzadi, Carl D. Laird, Ignacio E. Grossmann, Joshua L. Pulsipher
2025	J	`jnl`	Event constrained programming. Comput. Chem. Eng. Daniel Ovalle, Stefan Mazzadi, Carl D. Laird, Ignacio E. Grossmann, Joshua L. Pulsipher
2022	J	`jnl`	A unifying modeling abstraction for infinite-dimensional optimization. Comput. Chem. Eng. Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala
2022	J	`jnl`	Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing. CoRR Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher, Victor M. Zavala
2022	J	`jnl`	Random field optimization. Comput. Chem. Eng. Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
2022	J	`jnl`	SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control. CoRR Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom, Victor M. Zavala
2021	J	`jnl`	A Computational Framework for Quantifying and Analyzing System Flexibility. CoRR Joshua L. Pulsipher, Daniel Rios, Victor M. Zavala
2021	J	`jnl`	A Mixed-Integer Conic Programming Formulation for Computing the Flexibility Index under Multivariate Gaussian Uncertainty. CoRR Joshua L. Pulsipher, Victor M. Zavala
2021	J	`jnl`	A Unifying Modeling Abstraction for Infinite-Dimensional Optimization. CoRR Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala
2021	J	`jnl`	Measuring and Optimizing System Reliability: A Stochastic Programming Approach. CoRR Joshua L. Pulsipher, Victor M. Zavala