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It is quite common to encounter problems connected with feedback (closed-loop) control stability, controller limitations, and dead-time compensation to obtain minimum variance (mean square error) control at the output.
This restricts the use of the T S method because this type of membership function has been widely used during the last two decades in the stability, controller design and are popular in industrial control applications.
This restricts the application of the T-S model because this type of membership function has been widely used during the last two decades in the stability, controller design of fuzzy systems and is popular in industrial control applications.
Since the stability controller is the main contribution of this paper, the next section will show the main idea of the stability controller.
And the corresponding stability controller design algorithm is proposed.
The integrated structure provides a more accurate solution as the output of the stability controller is not altered by a separate unit, therefore its optimality is not compromised.
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This research fills the gap in designing continuous Lyapunov's stability controllers regarding limited available Lyapunov functions.
Based on the obtained stability criterion, a stabilization controller design approach is also given.
Due to the presence of saturation in real world control signals, the stability of controller is investigated in presence of saturation and sufficient stability conditions are obtained.
This paper is concerned with the modeling, stability and controller design of discrete-time networked control systems (NCSs) with time delays and packet dropouts.
The stability of controller is verified by using Lyapunov theory.
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