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This paper deals with a design problem of non-minimum phase systems with input constraints and unknown disturbance using the adaptive robust anti-windup generalized predictive control (RAGPC) scheme. In essence non-minimum phase systems are characterized by presence of dead time and invariably has unstable inverse. This effect is not desirable in control processes especially when problems of static...
This paper explores the use of a discretization procedure based on multirate sampling called generalized sample-data hold function (GSHF) for modeling and control purposes. Within this framework, the designer is allowed to use the degrees of freedom provided by the GSHF to deliberately cause stable pole-zero cancellations and, thus, obtaining reduced-order discrete-time models from linear continuous-time...
The present study compares the performances of several types of continuous time generalized predictive controllers with nonlinear bang bang controller for controlling chaotic systems. Continuous time approach of controller design proposed in this study often exposes the fundamentals of underlying control problem which are obscured by sampling and therefore offers significant advantages over discrete...
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