| 1 - 2 |
Editorial of FOCAPO/CPC 2017 Preface
Maravelias CT, Megan L, Wassick JM, Ydstie BE |
| 3 - 13 |
Advanced optimization strategies for integrated dynamic process operations
Biegler LT |
| 14 - 42 |
Expanding scope and computational challenges in process scheduling
Castro PM, Grossmann IE, Zhang Q |
| 43 - 51 |
Decomposing complex plants for distributed control: Perspectives from network theory
Daoutidis P, Tang WT, Jogwar SS |
| 52 - 68 |
Nonsmooth differential-algebraic equations in chemical engineering
Stechlinski P, Patrascu M, Barton PI |
| 69 - 80 |
Dynamic latent variable analytics for process operations and control
Dong YN, Qin SJ |
| 81 - 88 |
A framework for modeling and optimizing dynamic systems under uncertainty
Nicholson B, Siirola J |
| 89 - 98 |
Economic MPC and real-time decision making with application to large-scale HVAC energy systems
Rawlings JB, Patel NR, Risbeck MJ, Maravelias CT, Wenzel MJ, Turney RD |
| 99 - 110 |
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
Beykal B, Boukouvala F, Floudas CA, Sorek N, Zalavadia H, Gildin E |
| 111 - 121 |
Machine learning: Overview of the recent progresses and implications for the process systems engineering field
Lee JH, Shin J, Realff MJ |
| 122 - 129 |
The impact of digitalization on the future of control and operations
Isaksson AJ, Harjunkoski I, Sand G |
| 130 - 144 |
Smart manufacturing and energy systems
Edgar TF, Pistikopoulos EN |
| 145 - 157 |
A multitree approach for global solution of ACOPF problems using piecewise outer approximations
Liu JF, Bynum M, Castillo A, Watson JP, Laird CD |
| 158 - 170 |
Stochastic model predictive control - how does it work?
Heirung TAN, Paulson JA, O'Leary J, Mesbah A |
| 171 - 190 |
Process operational safety via model predictive control: Recent results and future research directions
Albalawi F, Durand H, Christofides PD |
| 191 - 200 |
Optimizing the Design of New and Existing Supply Chains at Dow AgroSciences
Bassett M |
| 201 - 210 |
On improving the online performance of production scheduling: Application to air separation units
Lotero I, Gopalakrishnan A, Roba T |
| 211 - 220 |
Application of formal verification and falsification to large-scale chemical plant automation systems
Rawlings BC, Wassick JM, Ydstie BE |
| 221 - 224 |
Scheduling, optimization and control of power for industrial cogeneration plants
Bindlish R |
| 225 - 244 |
Framework for a smart data analytics platform towards process monitoring and alarm management
Hu WK, Shah SL, Chen TW |
| 245 - 253 |
Petroleum production optimization - A static or dynamic problem?
Foss B, Knudsen BR, Grimstad B |
| 254 - 264 |
Economic opportunities for industrial systems from frequency regulation markets
Dowling AW, Zavala VM |
| 265 - 272 |
A two-stage procedure for the optimal sizing and placement of grid-level energy storage
Adeodu O, Chmielewski DJ |
| 273 - 280 |
A process systems approach for detailed rail planning and scheduling applications
Zyngier D, Lategan J, Furstenberg L |
| 281 - 295 |
An algorithm for gradient-based dynamic optimization of UV flash processes
Ritschel TKS, Capolei A, Gaspar J, Jorgensen JB |
| 296 - 305 |
On decoupling rate processes in chemical reaction systems - Methods and applications
Billeter J, Rodrigues D, Srinivasan S, Amrhein M, Bonvin D |
| 306 - 317 |
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs
Siddhamshetty P, Yang S, Kwon JSI |
| 318 - 324 |
Analysis of the multiplicity of steady-state profiles of two tubular reactor models
Dochain D |
