In this paper, we first write a description of the operation of DC motors taking into account
which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) …

Flood disasters continue to occur in many countries around the world and especially in
Malaysia. In the recent years river flooding and accompanying landslides, quite frequently …

This paper aims to make a trade‐off between performance and robustness in stochastic
control systems with probabilistic uncertainties. For this purpose, we develop a surrogate …

Today, most manufacturing control systems are complex and expensive, so they are limited
to employ a small number of function evaluations for optimal design. Yet, looking for …

In production/inventory control systems, the goal of the controller is to generate sophisticated
decisions by controlling the order rate and inventory level. This paper aims at modeling a …

An enhanced method for design of decenralised proportional integral (PI) controllers to
control various variables of flotation columns is proposed. These columns are multivariable …

An improved technique for the design of decentralized dynamic decoupled proportional-
integral (PI) controllers to control many variables of column flotation was developed and …

The leader–follower structure is widely used in unmanned aerial vehicle formation. This
paper adopts the proportional-integral-derivative (PID) and the linear quadratic regulator …

This paper presents Multi-Objective Integer Non-Linear Programming (MOINLP) involving
Negative Total Float (NTF) for improving the basic model of Multi-Objective Programming …

Optimal control theory is a branch of mathematics developed to find optimal ways to control
a dynamic system. One of the most important control problems in engineering design …