The connection weights parameters play important roles in adjusting the performance of PID
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …

Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …

Hybrid energy systems (HESs) are becoming popular for standalone applications due to
global concern regarding green house gas (GHG) emissions and depletion of fossil fuel …

Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …

Two-dimensional multi-objective optimizations have been used for decades for the problems
in traffic engineering although only few times so far in the optimization of signal timings …

Abstract Design of an effective and efficient PID controller to obtain high-quality
performances such as high stability and satisfied transient response is of great theoretical …

In this paper a set of optimally balanced tuning rules for fractional-order proportional-integral-
derivative controllers is proposed. The control problem of minimizing at once the integrated …

Optimization methods have shown to be a very important approach for control engineers.
They emulate the decision-making ability of a human expert to tune the control gains for a …

The issue of designing and tuning an effective and efficient multivariable PID controller for a
multivariable control system to obtain high-quality performance is of great theoretical …

How to design an effective and efficient double closed-loop proportional-integral (PI)
controller for a three-phase inverter to obtain satisfied quality of output voltage waveform is …