Synthesis of Neurocontroller for Intellectualization Tasks of Process Control Systems

The paper deals with the development of a basic neurocontroller for intellectualization of process control systems. A vertical tabular-algorithmic method for calculating the scalar product by using two and more tables of macropartial products, allowing a computation time to be reduced through parallel data processing, was improved. Maintenance support and software were developed for the basic modular-based neurocontroller that ensures rapid improvements in a product being designed. The neurocontroller's structure and model were developed to manage an intelligent greenhouse that relies on an artificial neural network.