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Multivariable System Identification For Process Control by Y. Zhu

Multivariable System Identification For Process Control Y. Zhu ebook
Page: 352
ISBN: 0080439853, 9780080439853
Publisher: Elsevier Science
Format: pdf

Apr 7, 2014 - Using the built-in KEIL ARM simulator tools and Mutisim, students can simulate an entire design process before going to physical hardware. Particularly, it will focus on new concepts, methods, techniques, and tools conceived in order to support an integrative interplay of modeling, identification, simulation, system analysis and control theory in all the stages of system design. Signals and Systems; Dynamic systems (Modeling & control); Mechatronics; Embedded & hybrid Control; Linear and Non-linear System Design; Control Systems Theory (linear, multivariable linear); System Identification; Neural Networks; Fuzzy Logic; Automation & robotics; Adaptive Control. Apr 10, 2014 - The primary responsibility will be to identify, implement and maintain advanced (multivariable) control strategies, including economic analysis (pre and post audits), step testing, model identification, controller design, testing and commissioning. The candidate will also participate in process control improvement efforts - identifying new or modified control schemes, providing operator training, documentation and controller performance monitoring and tuning. A depropanizer model will be used as the process example. The physical plants vessels, piping, and inventories which set the Cutler Technology's Universal Process Identification (UPID) software will be used to demonstrate how the problems with PID configuration and tuning can be reduced to a minimum. Jan 6, 2014 - The degradation of the models used by Multivariable Predictive Controllers (MPC) is primarily due to changes in the PID controller's tuning or configuration. Oct 8, 2013 - Chemical companies are striving for more complete and reliable process control information to tighten adherence to product specifications, reduce waste and identify areas ripe for process improvement. This is spurring a drive to build more NeSSI was born with the mission to standardize and miniaturize sampling systems to make them less expensive to deploy and able to fit in more-space-restrictive environments.