Authors:
Parker, RS
Heemstra, D
Doyle, FJ
Pearson, RK
Ogunnaike, BA
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Citation: Ra. Vadigepalli et al., Analysis and neuronal modeling of the nonlinear characteristics of a localcardiac reflex in the rat, NEURAL COMP, 13(10), 2001, pp. 2239-2271
Citation: Rs. Parker et Fj. Doyle, Optimal control of a continuous bioreactor using an empirical nonlinear model, IND ENG RES, 40(8), 2001, pp. 1939-1951
Citation: Jj. Castro et al., Mathematical model for the simulation and control of rotary lime kilns - Open-loop simulations agree with the literature, PULP PAPER, 102(7), 2001, pp. 48-51
Citation: Fj. Doyle et al., Grade transition modelling in continuous pulp digesters for reaction profile control - It has been used in a simulation to measure the effectiveness of MPC, PULP PAPER, 102(6), 2001, pp. 56-59
Citation: Ep. Gatzke et Fj. Doyle, Model predictive control of a granulation system using soft output constraints and prioritized control objectives, POWD TECH, 121(2-3), 2001, pp. 149-158
Authors:
Crowley, TJ
Meadows, ES
Kostoulas, E
Doyle, FJ
Citation: Tj. Crowley et al., Control of particle size distribution described by a population balance model of semibatch emulsion polymerization, J PROC CONT, 10(5), 2000, pp. 419-432
Citation: Ls. Balasubramhanya et Fj. Doyle, Nonlinear model-based control of a batch reactive distillation column, J PROC CONT, 10(2-3), 2000, pp. 209-218
Citation: K. Podual et al., Glucose-sensitivity of glucose oxidase-containing cationic copolymer hydrogels having poly(ethylene glycol) grafts, J CONTR REL, 67(1), 2000, pp. 9-17
Citation: K. Podual et al., Dynamic behavior of glucose oxidase-containing microparticles of poly(ethylene glycol)-grafted cationic hydrogels in an environment of changing pH, BIOMATERIAL, 21(14), 2000, pp. 1439-1450
Citation: K. Podual et al., Preparation and dynamic response of cationic copolymer hydrogels containing glucose oxidase, POLYMER, 41(11), 2000, pp. 3975-3983
Citation: P. Dave et al., Customization strategies for the solution of linear programming problems arising from large scale model predictive control of a paper machine, J PROC CONT, 9(5), 1999, pp. 385-396