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This paper proposes a simple, non-iterative way of calculating low-complexity controlled contractive sets, and shows how such set can be used for controller design for systems with state and input constraints.
The models are accurate but remain simple enough to be used for controller design.
By viewing the feedback gains as extra free parameters, the optimization problem can be used for controller design.
Hence, with the help of makeStateSpace the advantages of both powerful software tools ANSYS and Simulink can be used for controller design.
Results show that the established model׳s responses strongly correlate with the actual unit׳s responses and can be used for controller design.
Moreover, the condition can be expressed as linear matrix inequalities (LMIs) in terms of all the varying parameters and hence can easily be used for controller synthesis.
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In addition, the control design of the solar array system is discussed and the fuzzy adaptive PD control method is used for controller design.
Six robust control techniques were used for controller design, i.e. robust PI controller design based on plotting the stability boundary in the plane of controller parameters, the design method based on the small gain theorem, the H2, H∞, H2/H∞ control syntheses and the µ-synthesis with D-K iteration.
The backstepping approach is used for controller design.
Lumped parameter models are used for controller synthesis.
Nonsingular terminal sliding mode (TSM) is used for controller design.
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