Exact(9)
The model can be used in a multivariable analysis to determine characteristics of the system that might limit performance of a controller or a control design.
The algorithm provides single controller for the problem of control of uncertain MIMO system that approaches the performance of a controller designed for perfectly known parameters within the whole range of the system's parameters uncertainty.
For optimum performance of a controller, the appropriate selection of its parameters is of utmost importance.
The design method uses two measures that characterize stability and performance of a controller that has been derived from a particular design model.
This paper focuses on the validation (for stability and for performance) of a controller that has been designed from an unbiased model of the true system, identified either in open-loop or in closed-loop using a prediction error framework.
This controller is tested to variations in system loading and fault in the power system and its performance is compared with performance of a controller that the phase compensation method is used to set its parameters.
Similar(51)
The performance of such a controller was compared with the performance of the clinicians.
This procedure focuses on reliability-based optimization instances, where Montecarlo methods are used to evaluate quantitatively the performance degradation of a controller, due to unexpected or unmodeled dynamics.
A controller for a simple vibration isolation experimental system is designed by the proposed method and performance of a designed controller is verified by experimental results.
The performance of a repetitive controller greatly depends on the bandwidth of the low-pass filter included in the repetitive controller.
Furthermore the control system accomplishes regulation of the system trajectories to a manifold, and asymptotically achieves the performance of a deterministic controller.
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