Intelligent PID controllers, or i-PID controllers, are PID controllers where the unknown parts
of the plant, which might be highly nonlinear and/or time-varying, are taken into account …

The ability of PI and PID controllers to compensate many practical processes has led to their
wide acceptance in industrial applications. The requirement to choose two or three controller …

A robust landing control algorithm is proposed for a quadcopter, as well as for a landing
platform to land on an inclined or problematic surface. To use the quadcopter for outdoor …

Foundations of Fuzzy Control: A Practical Approach, 2nd Edition has been significantly
revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy …

Significant payload variations often occur in many practical tasks for robotic applications. But
its adequate control is a formidable challenge to control designers, and previous research …

Shape memory alloys (SMA) are being more frequently integrated into engineering
applications. These materials with their shape memory effect enable the simplification of …

We develop a novel adaptive tuning method for classical proportional–integral–derivative
(PID) controller to control nonlinear processes to adjust PID gains, a problem which is very …

Advanced control approaches are essential for industrial processes to enhance system
performance and increase the production rate. Model Predictive Control (MPC) is …

This paper makes two key contributions. First, it tackles the issue of the availability of
constrained predictive control for low-level control loops. Hence, it describes how the …

In this study, an automatic tuning approach for attitude control system of fixed‐wing
unmanned aerial vehicles (UAVs) is proposed. The main advantage of this approach is that …