Nonlinear Dynamics and Control in Process Engineering -- Recent Advances

ISBN-13: 9788847001619 / Angielski / Miękka / 2001 / 278 str.

G. Continillo; M. Giona; S. Crescitelli

Opis

The book is a collection of peer-reviewed articles on dynamics, control and simulation of chemical processes. It covers a variety of different methods for approaching process dynamics and control, including bifurcation analysis, computational fluid dynamics, neural network applications, numerical simulations of partial differential equations, process identification and control, Lagrangian analysis of mixing. The book is intended both for scientists and engineering involved in process analysis and control and for researchers (system engineering, mathematicians and physicists) interested in nonlinear sciences. It provides an overview of the typical problems of chemical and process engineering, in which dynamical system theory finds a significant and fertile field of applications.

Spis treści

On Some Properties of Three-dimensional Mixing Systems.- Collocation Methods and Inertial Manifold Theory for the Modal Reduction of Dissipative Distributed Systems.- Qualitative Modeling and Identification.- Modelling Chaos with Neural Networks.- Dynamics and Control of Forced-Unsteady-State Catalytic Combustors.- CFD Simulation of Stirred Vessel Reactors.- Non-linear Process Analysis.- Statistical Design of Control Systems Subject to Censored Measurements of the Controlled Variables.- Phase Separation of Liquid Mixtures.- A Non-Linear Analysis of a Bubble Column with Autocatalytic Reactions.- Closed-Loop Identification and Control of Multivariable Chemical Processes: a Case Study.- Dynamic Simulation of Mixing Controlled Reactions Using CFD.- Bifurcation Maps of the Reacting System CH4/O4/N2 in a CSTR.- Adaptive Fuzzy Control of a Process with Bifurcations.- Implementation Techniques in Front-Tracking Methods for Moving Boundary Problems with Singularities.- Modelling of Reaction-diffusion Processes in Ore Leaching with Nonlinear Kinetics.- Hybrid Modeling Technique for Large Eddy Simulations.- Identification of Chemical Processes for Control Purposes by Relay Techniques.