This paper presents Artificial Neural Network (ANN) as an optimization tool in tuning
Proportional-Integral-Derivative (PID) controller's gain of a multi-joints Lower Limb …

This paper developed an adaptive PID flight controller based on parameter optimization with
fuzzy inference for controlling the altitude dynamics of the Aerosonde UAV. The online fuzzy …

The study presents and discusses the elaboration of an Artificial Neural Network (ANN)
technique to recognize environmental odour with eNose. The proposed system was …

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 …

Manufacturing of Integrated Circuits (ICs) plays a vital role in electronic industry. ICs are
fabricated on a thin slice of crystalline silicon called wafers. Wafer Scanners are the …

Control of the temperature of the outlet fluid in heat exchanger network is very important to
maintain safety of equipment and meet the optimal process requirement. Conventional PID …

Many researches have talked about designing a controller, the PID controllers, the Integral
of Time multiplied by Absolute Error (ITAE) performance index, Fuzzy controllers,.. and so …

Lithographic wafer scanners or wafer steppers are the machines used for the manufacturing
of Integrated Circuits (ICs). Modeling based approaches are being used to simulate the …

The process variation in the pressure process tank is so rapid that it makes the PID more
susceptible to the variations in the pressure and consequently presents a sluggish …