Covers PID control systems from the very basics to the advanced topics This book covers the
design, implementation and automatic tuning of PID control systems with operational …

This paper describes three nonlinear Model Predictive Control (MPC) algorithms for neural
Wiener models. In all algorithms the model or the output trajectory is linearised on-line and …

This paper aims at developing a Recursive Parametric Estimation (RPE) algorithm for Multi-
Input Single-Output (MISO) and Multi-Input Multi-Output (MIMO) nonlinear systems …

The pH process dynamic often exhibits severe nonlinear and time-varying behavior and
therefore cannot be adequately controlled with a conventional PI control. This article …

The T91 martensitic steel is a candidate structural material for the liquid lead–bismuth
eutectic (LBE) MEGAPIE spallation target. This paper first reviews some results on Liquid …

The autonomous operation of turbojets requires reliable, accurate, and manageable
dynamical models for several key processes. This article describes a practical robust …

In this research the use of a feedback PID-like fuzzy controller scheme for pH control is
presented to deal with instability problems near the equivalence point in neutralization …

In this paper, an adaptive control scheme, based on fuzzy logic systems, for pH control is
addressed. For implementation of the proposed scheme no composition measurement is …

This paper describes a computationally efficient nonlinear model predictive control (MPC)
algorithm based on neural Wiener models and its application. The model contains a linear …

This paper presents a Wiener-type recurrent neural network with a systematic identification
algorithm and a control strategy for the identification and control of unknown dynamic …