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Interconnected process control under uncertainty conditions by using a generalized inversion concept

Azarskov V. N.  (National Aviation University (Kiev))

Zhiteckii L. S.  (National Aviation University (Kiev))

Solovchuk K. Yu.  (Int. Research and Training Center for Inform. Technologies & Systems (Kiev))

The interconnected process control system that can be described by a linear static model is considered. The transfer matrix of this process as a control plant is a priori unknown but a bounded region to which its elements belong is known. It is assumed that this region may include elements specifying ill-conditioned and singular matrices. Within the so-called generalized inversion, a new method for the adaptive controlling these uncertain plants based on the parameter identification of a fictitious plant with unknown but non-singular transfer matrix is proposed. Simulation results are given.

Keywords:automatic control theory, adaptive system, uncertainty, interconnected process control, singular transfer matrix, generalized inversion, fictitious plant
 

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Citation link:
Azarskov V. N., Zhiteckii L. S., Solovchuk K. Y. Interconnected process control under uncertainty conditions by using a generalized inversion concept // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2014. -№05-06. -С. 11-20
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