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Information × Registration Number 0214U007644, 0113U000223 , R & D reports Title Development of methods and facilities vehicle-programmatic realization of neurocontroller on the basis of the programmable logic integrated circuit for the construction of intellectual control system popup.stage_title Head Doroshenko A., Registration Date 24-12-2014 Organization Faculty of аircraft and space systems NTUU "KPI" popup.description2 ABSTRACT. Report 231 pp., 149 Fig. 72 source. The object of the research is the technical implementation means of control of complex dynamic objects that implement intelligent control technology. The aim is to create a theoretical and practical framework for the implementation of optimal structures of neural network control system components based on FPGA, which can learn (adapt) in real time at the rate of process management, and development of methods and tools for the synthesis of intelligent control systems based on them. In this paper, the concept of hardware and software implementation of neural network control systems and their components based on FPGA, which provides process control system adaptation to the real terms of dynamic object in motion the process of its operation. The structure and software and hardware implementation of neural elements are implemented as modular neural network parallel calculators, each of which generates one output neural network, which may previously to establish a general algorithm and donalahodzhuvatysya during system operation by one algorithm with rozparalelenoyu procedure training. Algorithms of a number of elements of the system, methods of synthesis and simulated performance. Designed and manufactured layout neurocontroller to implement neural systems. The structure, algorithms, methods of synthesis of adaptive engineering and samonalahodzhuvanyh neural network control system implemented on the developed technical base and software tools for their modeling and research-based software environments MATLAB and LabVIEW. Examples of simulation and study of a number of such systems. ADAPTIVE NEURAL NETWORK CONTROL SYSTEM, HARDWARE AND SOFTWARE NETWORK CONTROL SYSTEM, FPGA. Product Description popup.authors Жеребко В.А. Кравець П.І. Шимкович В.М. popup.nrat_date 2020-04-02 Close