NEURO-EVOLUTION OF CONTINUOUS-TIME DYNAMIC PROCESS CONTROLLERS

Neuro-Evolution of Continuous-Time Dynamic Process Controllers

Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems.In case of modelling systems input and output signals are a-priori known, supervised learning methods can be used.But in case of controller design of dynamic systems the required (optimal) contro

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Fourier Ptychographic Microscopy 10 Years on: A Review

Fourier ptychographic microscopy (FPM) emerged as a prominent imaging technique in 2013, attracting significant interest due to its remarkable features such as precise phase retrieval, expansive field of view (FOV), and superior resolution.Over the past decade, FPM has become an essential tool in microscopy, with applications in metrology, scientif

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