| 143 - 155 |
Dynamic neural networks partial least squares (DNNPLS) identification of multivariable processes
Adebiyi OA, Corripio AB |
| 157 - 166 |
An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects
Leineweber DB, Bauer I, Bock HG, Schloder JP |
| 167 - 174 |
An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization - Part II: Software aspects and applications
Leineweber DB, Schafer A, Bock HG, Schloder JP |
| 175 - 197 |
Tool support for the management of design processes in chemical engineering
Nagl M, Westfechtel B, Schneider R |
| 199 - 210 |
A comparison of the performance of profile position and composition estimators for quality control in binary distillation
Roffel B, Betlem BHL, de Blouw RM |
| 211 - 215 |
A simple method of tuning PID controllers for integrator/dead-time processes
Chidambaram M, Sree RP |
| 217 - 233 |
A procedure for the design and evaluation of decentralised and model-based predictive multivariable controllers for a pellet cooling process
Pomerleau D, Pomerleau A, Hodouin D, Poulin E |
| 235 - 249 |
Simulation of population dynamics using continuous-time finite-state Markov chains
Yin KK, Yang HC, Daoutidis P, Yin GG |
| 251 - 258 |
Solving combinatorial optimization problems with line-up competition algorithm
Yan LX |
| 259 - 280 |
A hierarchical approach to construct Petri nets for modeling the fault propagation mechanisms in, sequential operations
Wang YF, Chang CT |
| 281 - 292 |
Use of genetic algorithms as an aid in modeling deep bed filtration
Stephan EA, Chase GG |
