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Friday, August 7, 2020 | History

2 edition of Soft computing for modelling and control of pH in reactors found in the catalog.

Soft computing for modelling and control of pH in reactors

Michael Munyambala Mwembeshi

Soft computing for modelling and control of pH in reactors

by Michael Munyambala Mwembeshi

  • 348 Want to read
  • 24 Currently reading

Published by University of Birmingham in Birmingham .
Written in English


Edition Notes

Statementby Michael Munyambala Mwembeshi.
The Physical Object
Paginationxxiii, 390 p. + CD-ROM :
Number of Pages390
ID Numbers
Open LibraryOL16018166M

  From physical issues up to applications aspects, Mobile Ad Hoc Networking comprehensively covers all areas of the technology, including protocols and models, with an emphasis on the most current research and development in the rapidly growing area of ad hoc networks. All material has been carefully screened for quality and relevance and reviewed by the most renowned .   The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control : Hardcover.

Soft computing for modelling and control of pH in reactors - Thesis Birmingham University December 1, An approach to robust and flexible modelling and control of pH in reactorsTitle: Senior Control Systems Engineer . Proceeding of the 7th International Conference on Soft Computing Models in Industrial and Environmental Applications, Pp. , September Ostrava, Czech Republic. Senkerik R, Davendra D, Zelinka I, Oplatkova Z and Pluhacek M () Optimization of the Batch Reactor by means of Chaos Driven Differential Evolution. Proceeding of the 7th.

Alleyne, Andrew, and J. Karl Hedrick. “Nonlinear Adaptive Control of Active Suspensions.” IEEE Transactions on Control Systems Technology 3: 94– Bahita, M., and K. Belarbi. “Model Reference Neural-Fuzzy Adaptive Control of the Concentration in a Chemical Reactor (CSTR).” IFAC-PapersOnLine – used to reduce the project and operating costs for multi-stage pH systems. This paper details how models and control strategies are integrated in a DCS and used for an extensive variety of purposes. The model is used initially offline in a virtual plant to explore and prototype process control improvements running 10 to times faster than.


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Soft computing for modelling and control of pH in reactors by Michael Munyambala Mwembeshi Download PDF EPUB FB2

This book presents a unified view of modelling, simulation, and control of non­ linear dynamical systems using soft computing techniques and fractal theory.

Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are. The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented.

Book Description. This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

This work concerns designing multiregional supervisory fuzzy PID (Proportional-Integral-Derivative) control for pH reactors. The proposed work focuses, mainly, on two themes. The first one is to propose a multiregional supervisory fuzzy-based cascade control structure.

It would enable modifying dynamics and enhance system&#x;s stability. The fuzzy system (master loop) has been chosen as a Cited by: 3. Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming.

Applied Soft Computing1 (1), DOI: /S(01) János Abonyi, Lajos Nagy, Ferenc by: He co-edited eleven journal special issues on fuzzy preference modelling, soft computing, linguistic decision making and fuzzy sets theory.

He also has published more than papers in journals indexed by the SCI as well as 33 book chapters and more than contributions in International Conferences related to his areas. Application of soft computing technologies (neural networks, fuzzy logic and genetic algorithms) for non-linear modeling and control of pH in reactors View project Article.

Insight into Fuzzy Modeling is a reference for researchers in the fields of soft computing and fuzzy logic as well as undergraduate, master and Ph.D. students. Vilém Novák, is Full Professor and Director of the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic.

pH control of a fed batch reactor with precipitation. Journal of Process Control19 (5), DOI: /nt Krzysztof Stebel, Jacek Czeczot. Nonstationary modelling approaches of neutralization process for model–based control. The new neuro-fuzzy-fractal method combines Soft Computing (SC) techniques with the concept of the fractal dimension for the domain of Non-Linear Dynamic Plant Control.

The new method for adaptive model-based control has been implemented as a computer program to show that our neuro-fuzzy-fractal approach is a good alternative for controlling. The book thereafter examines the peculiarities of nuclear reactor systems and provides an overview of the relevant modelling strategies.

Computational methods for neutron transport, first at the cell and assembly levels, then at the core level, and for one-/two-phase flow transport and heat transfer are treated in depth in respective chapters. This paper is concerned with the development of predictive neural network-based cascade control for pH reactors.

The cascade structure consists of a master control loop (fuzzy proportional-integral) and a slave one (predictive neural network). The master loop is chosen to be more accurate but slower than the slave one. The strong features found in cascade structure have been added to the.

Application of soft computing technologies (neural networks, fuzzy logic and genetic algorithms) for non-linear modeling and control of pH in reactors. View. Co-authors. Top co-authors. Get this from a library.

Soft computing for control of non-linear dynamical systems. [Oscar Castillo] -- "The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different. Thermo-hydraulic behavior modeling of passive heat transfer enhancement techniques using a soft computing approach,CHEMICAL ENGINEERING COMMUNICATIONS, A Model-Based Coordinated Control Concept for Steam Power Plants,Journal of Engineering, He is the author or a co-author of 6 books and more than other publications, including 30 journal articles.

His research interests include advanced control algorithms, in particular MPC algorithms, set-point optimisation algorithms, soft computing methods, in particular neural networks, modelling.

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications.

Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an. Get this from a library.

Soft Computing for Control of Non-Linear Dynamical Systems. [Oscar Castillo; Patricia Melin] -- The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques.

Luigi Fortuna has been Professor of System Theory at the University of Catania since He has published more than technical papers and is co-author of seven books including, for Springer, Soft Computing (,pp, SC) and Microelectronics and Microsystems (,pp, HC).

He holds several USA patents. control algorithms and solving scale-up problems in the Technology Laboratory of the Department of Process Engineering. The system consists of a glass reactor and a pilot-size reactor.

A number of models of the two reactors, with different granularity were developed and compared. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications.

Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions.Description.

The International Journal of System Dynamics Applications (IJSDA) publishes original scientific and quality research on the theory of and advances in dynamical systems with analyses of measure-theoretical and topological aspects. This interdisciplinary journal provides audiences with an extensive exploration of the perspectives and methods of system dynamics and system thinking.Laboratory Director: DR.

Ali Chaibakhsh. Abo ut. Ali Chaibakhsh is Associate Professor Mechanical Engineering at University of Guilan (since ). He received his degree in from University of Guilan in Mechanical Engineering, Rasht, Iran, and his and Ph.D.

degrees in and from K.N. Toosi University of Technology, Tehran, Iran under supervision of Prof. Ali Ghaffari.