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A procedure is presented for designing parameter-adaptive control for a single-input, single-output process admitting an essentially unknown but fixed linear model, so that the resulting closed-loop system is globally stable with zero steady-state tracking error between the output of the process and the output of a prespecified linear reference model. The(More)
A new parametrization for a linear system is presented. This parametrization is the basis for two approaches to design an adaptive controller for pole placement. One approach is based on parameter estimation and requires sufficient excitation, while the other, the model reference adaptive pole placement, uses a reference model and an augmented error. It is(More)
This paper describes a method to optimize the plane sweep algorithm. The goal of this paper is to develop a method that reduces the comparison through removing the tandem replicated word comparison and also using partial search technique in a document for escaping from the keywords that are ineffective. The approach introduces Plane Sweep algorithm that is(More)
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