An original structure of tiled transmitarray is presented, comprising a number of topologically similar unit cells arranged in arbitrary pattern within a planar array frame. Each unit cell represents a passive receiver-transmitter structure with integrated phase-shifter, fabricated in commercial 5-layer printed circuit board process, which can take either of two coding states corresponding to 0° or 180° phase shift imparted to the signal transmitting through the device. The unit cell design supports two orthogonal linear polarizations. An example of a 10x10 element 1-bit beam steering transmitarray operated in C-band is demonstrated by simulations and measurements. The proposed structure represents a cost-efficient solution for scalable transmitarrays and also for proof-of-concept experiments in research and education.

An original approach of a transmitarray which consists of the tiled unit cells placed in a plastic holder is considered. Each unit cell represents a passive receiver-transmitter structure with integrated phase-shifter, which can take either of two coding states corresponding 180° phase difference between the states. The transmitarray design supports two orthogonal linear polarizations. An example of a 10x10 element 1-bit beam steering transmitarray operated in C-band is presented. The results of radiation pattern measurements with single and multifeed excitation are shown. The proposed structure represents a cost-efficient solution for scalable transmitarrays.

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Abstract1-Its need for the construction of Advanced Process Control (APC) system as part of the automated process control system this article considers the task of modeling and adapting the dynamic characteristics of the complex control objects elements represented by cognitive maps. The models in the form of second-order difference equations are taken as the basic structure of cognitive map relations models. Models of this type allow you to simulate the dynamics of objects in controllers in real time and solve the problem of functional diagnostics of measuring instruments, data verification in the process control system. This type of model allows you to simply adapt the parameters of the difference equation to varying characteristics of the technological object and, thus, display the non-linearity, non-stationary and multi-dimensionality of the control object. It is shown that for many refining processes, the adjustment of models in the form of second-order difference equations can be carried out by periodically changing one coefficient without significant loss of accuracy. The criterion for the start of the adaptation procedure is the appearance of a stable difference between the dynamic characteristics of the object and the model. The adaptation procedure is reduced to recalculating the value of one of the difference equation coefficients based on the value of the simulation error. The proposed description of the dynamic characteristics of the technological object in the form of difference equations and the procedure of adapting the model to the changing characteristics of the object allow their algorithmic implementation within the framework of the typing controllers resources, which reduces the cost and simplifies the development of APC systems.

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