Titlebook: Nonlinear Model-based Process Control; Applications in Petr Rashid M. Ansari,Moses O. Tadé Book 2000 Springer-Verlag London Limited 2000 Co

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Book 2000chnology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers a

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Non-Linear Model-Based Multivariable Control of a Crude Distillation Process,m makes the overall system non-linear even though the process dynamics are assumed linear. The heavy oil fractionator control problem embodies the key elements of all control problems such as multiple objective criteria, inequality and equality constraints and model uncertainty with first-order differential equations and dead time.

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Conclusions and Recommendations,cess model, an inferential model and multivariable control algorithm and constrained non-linear optimization strategies in one framework.The scope of work summarized in Section 1.4 has been successfully completed. The main features of the completed work are as follows:

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Introduction,plant behaviour. The so-called generic model control (GMC) formulation of the control law allows process models, linear and non-linear, to be embedded directly into the control structure, providing the potential for better process control due to more accurate process models being incorporated into the control structure.

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