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We designed a control system to gain a fixed pressure ranging from 2,000 to 101,325 Pa.
Based on this knowledge, we have designed a control system which allows us to maintain the flexible floating boom in a specific configuration by controlling its shape.
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This model was further used in [49] to design a control system for the management of fuel cell output power.
The main objective is to design a control system suitable for real-time implementation.
It allows to design a control system with incomplete and inexact input signal information.
This article discusses two fundamental steps when designing a control system.
In this paper, a fuzzy model predictive control (FMPC) approach is introduced to design a control system for nonlinear processes.
A neuro-fuzzy network predictive approach is introduced to design a control system for boiler steam temperature process.
In this study, we present the methodology of designing a control system for providing precise thermal budget.
Thus they are particularly useful when designing a control system or to study the stability margins of the coupled dynamics.
The proposed method is applied to design a control system for the F-16 fighter aircraft model.
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