A lot of automatic feedback control and learning tasks carried out on many dynamical
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …

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 …

In this paper a new auto-tuning algorithm for PI and PID controllers based on relay
experiments is proposed to minimize the load disturbance integral error (IE) by maximizing …

In this paper a tool for initial design of decentralized controllers for an irrigation channel is
developed, and field tests are carried out which demonstrate that it delivers controllers with …

Fault tolerant control of dynamic processes is investigated in this paper using an auto-tuning
PID controller. A fault tolerant control scheme is proposed composing an auto-tuning PID …

In this work, a new iterative feedback tuning approach is proposed to tune ALINEA's
controller gain automatically when there is not enough prior information available to select a …

In this paper, we propose an adaptive PI (proportional-integral) rate controller for the AQM
(active queue management) router that would support best-effort traffic in the Internet. Unlike …

With reference to a real industrial application of process control, some considerations are
discussed concerning the accuracy of methods for auto-tuning of proportional, integral and …

A simple approach to the automatic tuning of PID process controllers is proposed. Like the
relay-based autotuner, its objective is to attain a design-point on the Nyquist diagram. By …

A stable self-learning PID (proportional+ integral+ derivative) control scheme for
multivariable nonlinear systems with unknown dynamics is proposed in this paper. The …