To conform to strict environmental safety regulations, pH control is used in many industrial applications. For this purpose modern process industries are increasingly relying on intelligent and adaptive control strategies. On one hand intelligent control strategies try to imitate human way of thinking and decision making using artificial intelligence (AI) based techniques such as fuzzy logic wh...

In this paper, the robustness of a typical control scheme for Wiener systems is studied. These systems consist of the cascade connection of a linear time invariant system and a static nonlinearity. To control this kind of systems, several approaches were discussed in the literature. Most of these control schemes involve transformation of the measured variable as well as the setpoint, by the inv...

The pH control process has been used in industry in a wide number of applications. Its dynamics are highly nonlinear. The pH control process is subjected to uncertainties of mathematical model describing the kinetics changes of chemical process and the external disturbances. The pH control process using the PID control technique will be investigated in this paper. The setting and adjustment of ...

In this paper, a multiple models, switching, and tuning control algorithm based on poleplacement control is studied. Drawbacks of the algorithm in disturbance rejection are discussed, and a novel supervisor to enhance the decision-making procedure is developed. The modified algorithm is evaluated in a simulation study for a nonlinear pH neutralization process. Comparison results are provided to...

Eco-industrial processes require high reliability control and supervision methodologies, so as to achieve the best compromise possible between the process’ efficiency, safety and economy. Industries often focus on the two first objectives mainly, since they are unwilling to “experiment” not yet validated and/or complex control methodologies if safety and/or efficiency of the process may be jeop...

The binding of peptide antigens to class II histocompatibility glycoproteins can be markedly enhanced at pH values approximating those found in acidic endosomal compartments in antigen-presenting cells (APC). It has been proposed by others that low pH may increase the conformational flexibility of class II, facilitating both the association and dissociation of peptides. Neutralization of pH, as...

This article presents a solution to pH control based on model-free learning control (MFLC). The MFLC technique is proposed because the algorithm gives a general solution for acid-base system, yet is simple enough for implementation in existing control hardware. MFLC is based on reinforcement learning (RL), which is learning by direct interaction with the environment. The MFLC algorithm is model...

This paper presents a novel dynamic neural network (DNN) predictive control strategy based on modified particle swarm optimization (PSO) for long time delay nonlinear process. The proposed dynamic NN structure could approximate to the actual system model and obtain the pure delay time exactly. An improved version of the original PSO is put forward to train the parameters of NN to enhance the co...