Titlebook: Nonlinear Model Based Process Control; Ridvan Berber,Costas Kravaris Book 1998 Springer Science+Business Media Dordrecht 1998 algorithms.d

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Simone Loureiro De Oliveira,Douglas Marcelo Merquior,Enrique Luis Lima–brain barrier (BBB). Neuropeptides, proteins, and chemotherapeutic agents are notable examples of potential therapeutics where the intact BBB is the major obstacle to their use. Indeed, all large-molecule products of biotechnology such as monoclonal antibodies, recombinant proteins, antisense, or g

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H. Chen,F. Allg?wer–brain barrier (BBB). Neuropeptides, proteins, and chemotherapeutic agents are notable examples of potential therapeutics where the intact BBB is the major obstacle to their use. Indeed, all large-molecule products of biotechnology such as monoclonal antibodies, recombinant proteins, antisense, or g

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Practical Approaches to Nonlinear Controlgiven to traditional nonlinear control. This paper reviews traditional nonlinear control techniques, including gain scheduling, measurement transformations and selection of actuator characteristics. Included is a review of nonlinear PI-based approaches that have been applied to linear systems, such

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Multiple Model Adaptive Control (MMAC)is presented, highlighting the major areas where MMAC has been applied. The structure of the MMAC strategy is shown, including comments on implementation issues. Four basic examples, including a non-linear CSTR with output multiplicities, are presented to discuss decisions and problems faced when de

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Self-Scheduling MPC Using LPV Modelsions in plant dynamics by using measured values of the parameters in the control law. We apply the method to control of nonlinear plants approximated by LPV models constructed from multiple local linear models. In this context the parameters constitute model validity functions which are estimated on

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Nonlinear Model-Algorithmic Control: A Review and New Developmentsm-phase compensation. In addition, new nonlinear multirate Model-Algorithmic Control methods are developed. The handling of input constraints within a MAC framework is also discussed. Several chemical engineering examples illustrate the methods throughout the paper.

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Windup and Directionality Compensation in Nonlinear Model-Based Controlmay be of low quality due to process directionality and/or windup. This work characterizes these two phenomena and presents (a) an optimal directionality compensator and (b) nonlinear model-based control laws that optimally compensate for process directionality and windup..Given a controller output,