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Proceedings of the 17th World Congress The International Federation of Automatic Control Seoul, Korea, July 6-11, 2008 A Hybrid Predictive Control Scheme for Hydrothermal Process Gustavo H. C. Oliveira
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What is a hybrid predictive control?
A hybrid predictive control is a control strategy that combines the benefits of both model-based predictive control and rule-based control to optimize the performance of a system.
Who is required to file a hybrid predictive control?
The requirement to file a hybrid predictive control may vary depending on the specific industry or regulatory guidelines. It is advisable to consult with industry experts or regulatory authorities to determine the specific requirements for filing a hybrid predictive control.
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Filling out a hybrid predictive control typically involves collecting relevant data, analyzing the system dynamics, designing the control strategy, and implementing it using appropriate software or hardware. The specific steps may vary based on the industry or application for which the hybrid predictive control is being implemented.
What is the purpose of a hybrid predictive control?
The purpose of a hybrid predictive control is to optimize the performance of a system by combining the advantages of predictive control (such as considering future system states and constraints) with rule-based control (such as incorporating expert knowledge and heuristics). This allows for better decision-making and control actions to achieve desired objectives.
What information must be reported on a hybrid predictive control?
The specific information that must be reported on a hybrid predictive control can vary depending on the industry or application. Typically, it includes relevant system parameters, control actions, setpoints, constraints, prediction models, and any other information necessary to describe the control strategy and its implementation.
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