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The proposed robust model based control approach is corroborated for the case of various desired shapes of the target distribution.

To achieve the desired optimal transient performance, a dynamic hysteresis compensation based control approach is developed by employing robust adaptive integral sliding mode control technique to accommodate both hysteresis nonlinearities and model uncertainties.

The Takagi Sugeno fuzzy-based control approach is accompanied by the integral sliding mode control to dampen the chattering significantly.

Both gain scheduling and multiple model based control approaches are considered to be practical approaches for control of industrial nonlinear processes.

end{aligned} (35)The behavior of the proposed Takagi Sugeno fuzzy-based control approach is based on the reach condition, which directly determines the control effort.

In this paper, a new adaptive and robust model-based control approach is developed based on a nonlinear discrete sliding mode controller (DSMC) formulation to mitigate implementation imprecisions and model uncertainties, that consequently minimizes the gap between designed and implemented controllers.

The results indicate that the proposed fuzzy-based control approach is well behaved with respect to other related ones.

On the other hand, the Takagi Sugeno fuzzy-based control approach is well behaved to control the system in the presence of the perturbations.

The factor of fuzzy-based control approach is in fact adjusted through a neural network, which is trained by the error post-distribution method.

The multiple inputs multiple outputs (MIMO) structure regarding the fuzzy-based control approach is shown in Fig. 4 for the flexible control of multi-connectional hard connections.

In the method presented, the weight factors that fuzzy-based control approach is given by the neural network with recursive nature are considered, while the same control approach operates without having any knowledge of control system's structure.