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Information × Registration Number 0209U010831, 0108U000489 , R & D reports Title Neural networks control systems of dynamic plants with hardware-software implementation of neural networks elements popup.stage_title Head Doroshenko A., Registration Date 04-01-2010 Organization Faculty of аircraft and space systems NTUU "KPI" popup.description2 ABSTRACT Report of 224 p., 162 pics., 72 sources. The object of researches is neural control systems and their elements which will be implemented by hardware-software on the basis of freely programmable logical structures of FPGA. A purpose of work is creation of practical and theoretical base for realization of the adaptive neural control systems which can study real-time in a rate with the control processes of complex dynamic objects. The conception of hardware-software implementation of neural control systems and their elements on field-programmable gate array (FPGA) is developed. FPGA provides control system engineers with an opportunity to adapt control system in real-time. The methods of synthesis and design of some neural control system elements and their algorithms of work are developed. The prototype of neural controller, which can be used for neural control system, was developed. There were also developed structures, algorithms of work, and engineering's methods of synthesis of the adaptive and self-tuning neural-network using MATLAB and LABVIEW. There are some examples of researches and imitation simulations of control systems. ADAPTIVE NUERAL CONTROL SYSTEM, HARDWARE-SOFTWARE IMPLEMENTATION OF NEURALNETWORK STRUCTURE, FPGA, SYNTHESIS OF NEURALNETWORK ELEMENTS, DESIGN, OPTIMIZATION. Product Description popup.authors Жеребко В.А. Котенко Ю.В. Кравець П.І. popup.nrat_date 2020-04-02 Close