| II - III |
8th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2012), Singapore, July 10-13, 2012
Braatz RD, Nagy ZK |
| 323 - 331 |
Energy supply planning and supply chain optimization under uncertainty
Lee JH |
| 332 - 340 |
Control of thermal solar energy plants
Camacho EF, Berenguel M, Gallego AJ |
| 341 - 347 |
Analysis of a synthetic gene switching motif: Systems and control approaches
Kim KKK, Cheong KS, Chen KJ, Braatz RD |
| 348 - 356 |
Extremum seeking control of the CANON process-Existence of multiple stationary solutions
Trollberg O, Carlsson B, Jacobsen EW |
| 357 - 367 |
Cycle to cycle adaptive control of simulated moving bed chromatographic separation processes
Suvarov P, Kienle A, Nobre C, De Weireld G, Wouwer AV |
| 368 - 378 |
Closed-loop control of a SCR system using a NOx sensor cross-sensitive to NH3
Bonfils A, Creff Y, Lepreux O, Petit N |
| 379 - 388 |
Decentralized state feedback control for interconnected systems with application to power systems
Schuler S, Munz U, Allgower F |
| 389 - 398 |
Consistent hierarchical economic NMPC for a class of hybrid systems using neighboring-extremal updates
Wolf IJ, Munoz DA, Marquardt W |
| 399 - 414 |
Realization of online optimizing control in an industrial semi-batch polymerization
Finkler TF, Kawohl M, Piechottka U, Engell S |
| 415 - 421 |
JITL-based concentration control for semi-batch pH-shift reactive crystallization of L-glutamic acid
Su QL, Braatz RD, Chiu MS |
| 422 - 430 |
Robust optimization of chemical processes using Bayesian description of parametric uncertainty
Mandur J, Budman H |
| 431 - 449 |
Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
Ding SX |
| 450 - 459 |
Root cause diagnosis of plant-wide oscillations using Granger causality
Yuan T, Qin SJ |
| 460 - 478 |
Performance assessment, diagnosis, and optimal selection of non-linear state filters
Tulsyan A, Huang B, Gopaluni RS, Forbes JF |
| 479 - 486 |
Set-based adaptive estimation for a class of nonlinear systems with time-varying parameters
Dahliwal S, Guay M |
| 487 - 497 |
Computing point estimates from a non-Gaussian posterior distribution using a probabilistic k-means clustering approach
Bavdekar VA, Shah SL |
