Neural network controllers (NNCs) have shown great promise in autonomous and cyber-physical systems. Despite the various verification approaches for neural networks, safety analysis of NNCs remains an open problem. Existing control systems (NNCSs) either can only work on a limited type activation functions, or result non-trivial over-approximation errors with time evolving. This paper proposes ...

typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. the distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. in this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...

estimation (forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. thus, accuracy of the estimation is highly desirable. hibrid regression neural network is an approach proposed in this paper to obtain better fitness in comparison with regression analysis and the neural network methods. comparing the estimated resul...

This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized mode is subject to uncertainties. The uncertainties are generated in the process of linear...

With the increasing complexity of mechanical equipment, control effectiveness traditional intelligent systems can no longer meet needs modern industrial production. In order to reduce errors in while ensuring system performance, this study proposes a new Particle Swarm Optimization (PSO) optimization scheme. The simplified PSO algorithm from three aspects: parameters, speed, and position formul...

Yapay sinir ağı (YSA) tarafından gerçekleştirilen hesaplama, birbiriyle iletişim kurmadan girdi uzayı üzerinde çalışan iki veya daha fazla modüle (alt sistemler) ayrıştırılabiliyorsa, modülerdir (MYSA). Modülerlik, karmaşık bir hesaplama görevini basit görevlere bölerek uzayının farklı bölgelerini öğrenip uzmanlaşma eğilimindeki modüllerin bireysel çözümlerini birleştirme yaparak çözüme izin ve...