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 …

The processes which contain at least one pole at the origin are known as integrating
systems. The process output varies continuously with time at certain speed when they are …

Streamflow series forecasting composes a fundamental step in planning electric energy
production for hydroelectric plants. In Brazil, such plants produce almost 70% of the total …

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 dc motor is one of the most fundamental electromechanical devices of mechatronic
systems, which plays an important role in maintaining the accuracy in the execution of tasks …

The efficient speed regulation of four-bar mechanisms is required for many industrial
processes. These mechanisms are hard to control due to the highly nonlinear behavior and …

Four-bar mechanisms have increased their use in current applications from industrial to
rehabilitation systems. These applications become more demanding over time, and the …

In general, the starting point for the complex task of designing a robust and efficient control
system is the use of nominal models that allow to establish a first set of parameters for the …

This paper proposes the use of multi-objective ensemble learning to monitor drinking-water
quality. Such problem consists of a data set with an extreme imbalance ratio where the …

Control of industrial plants is an important engineering field of study, where the optimization
of such processes can lead to better product quality and higher profit. The present work …