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This article discusses two fundamental steps when designing a control system.
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 process of designing a control system and getting it to work is probably the most rewarding part of embedded control system work.
Many different factors such as process dynamics, disturbances, process uncertainties and actuator saturation have to be considered when designing a control system.
Therefore, it is necessary to understand their behavior before designing a control system that is able to auto-steer an agricultural machine safely and efficiently.
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We designed a control system to gain a fixed pressure ranging from 2,000 to 101,325 Pa.
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.
In this paper, a fuzzy model predictive control (FMPC) approach is introduced to design a control system for nonlinear processes.
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