A multivariable fuzzy logic controller with Lyapunov adaptive control scheme has been developed for a pH neutralisation process. In this study, the nominal neutralisation process condition exhibit nonlinear dynamics and multi-delayed-effects input variables. The proposed controller uses a Takagi-Sugeno fuzzy inference system and it has been optimised by genetic algorithm which minimizing the cl...

A fuzzy neural network controller which is the combination of the fuzzy control and neural network technology, is presented based on the severe nonlinearity and large hysteresis of the pH value control process. It shows that,by digital simulation, the control effect of the proposed FNNC's control algorithm is much better than it of the conventional PID control and ecumenic fuzzy control algorit...

This paper discusses the application of support vector machine in the area of identification of nonlinear dynamical systems. The aim of this paper is to identify suitable model structure for nonlinear dynamic system. In this paper, Adaptive Neuro Fuzzy Inference Systems (ANFIS) and Support Vector Regression (SVR) models are applied for identification of highly nonlinear dynamic process. The res...

In this paper, a new architecture combining dynamic neural units and fuzzy logic approaches is proposed for a complex chemical process modeling. Such processes need a particular care where the designer constructs the neural network, the fuzzy and the fuzzy neural network models which are very useful in black box modeling. The proposed architecture is specified to the pH chemical reactor due to ...

In number of research projects various adaptive control methods have been applied to the control of pH with varying success. Recently, intelligent control methods based on fuzzy systems and neural networks have been studied intensively (for example, see Ylén and Jutila, 1996). In some of these studies (see Loh et al, 1995 and Aoyama et al, 1995) nonlinear models are created explicitly for model...

| Fuzzy adaptive systems may be viewed as a framework for solving the problems of nonlinear system control. In the paper a novel model reference fuzzy adaptive control system is introduced which is based on the fuzzy model of the process. The combination of adaptive control theory based on models obtained by fuzzy basis function expansion results in fuzzy direct model-reference adaptive control...

Degradation of 2,4-dichlorophenol (2,4-DCP) was studied in a novel three-electrode photoelectrocatalytic (PEC) integrative oxidation process, and the factors influencing the degradation rate, such as applied current, flow speed of O2, pH, adscititious voltage and initial 2,4-DCP concentration were investigated and optimized. H2O2 was produced nearby cathode and Fe2+ continuously generated from ...

To feed Earth’s growing population, microalgae have been proposed as a source of protein and long-chain n-3 polyunsaturated fatty acids (LC n-3 PUFAs). Currently, microalgae are mainly sold either as whole biomass, or the economically valuable LC n-3 PUFA fraction is extracted with organic solvents. As an alternative to solvent extraction, pH-driven protein solubilization in water followed by i...

Herring (Clupea harengus) contain valuable proteins but is difficult to process into high-quality foods due to its small size and high content of bones, heme-proteins and lipids. Herring is among the most abundant fish species in the world, but is currently utilized largely for fish meal and oil production. The work presented in this thesis has aimed at evaluating pH-shift processing as a metho...

UV/H2O2 and UV/peroxodisulfate (PDS) processes were adopted to degrade a typical β-blocker, atenolol (ATL), and the degradation efficiencies under various operational parameters (oxidant dosage, pH, HCO3, humic acid (HA), NO3, and Cl) were compared. Principal factor analysis was also performed with a statistical method for the two processes. It was found that increasing the specific dosage of t...