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A new design of resilient (non-fragile) robust control is given that takes into consideration both model and controller uncertainties by an iterative solution of a set of linear matrix inequalities (LMI).
Singular perturbation method is utilized to remove states associated with fast dynamics in both model and controller.
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A robust induction motor control should provide the desired performance in the face of both plant model and controller model uncertainty.
The idea behind the MVC design model is that an application consists of three components: a Model, Views of the Model, and Controllers.
Finally, both the model and the controller are validated by a car-used six-cylinder SI engine.
Dynamic modelling and controller design for a flexible four-bar mechanism is studied.
Modelling and controller designs are the focus of this work.
Similarly, procedures for reduced order modelling and controller design are derived.
Thus, stability robustness in terms of both model parameter variation and controller parameter adjustments can be systematically explored.
Both the neural network model and the controller were tested for each patient under simulation, and the results obtained show a good performance during food intake and variable exercise conditions.
Information of the membership functions of both the fuzzy plant model and fuzzy controller are considered, which allows arbitrary matrices to be introduced, to ease the satisfaction of the stability conditions.
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