Focusing on their practical implementation, the methods volume provides readers with rapid access to process modelling and control, while including the theoretical background necessary. Throughout, the essential knowledge is built up from chapter to chapter, such that by the end readers have the means to design simple controllers on the basis of their own models, and to use more detailed models to test them. With its clarity and simplicity of presentation, and illustrated by more than 200 diagrams, the volume supports self-study and teaches readers how to apply the appropriate method for the application required and to handle problems in process control.
Bridging theory and practice, the second volume contains over 200 practical exercises and their solutions to train problem-solving abilities in process control. The problems were developed by the author during his many years of teaching at university and are kept brief, taken from the fields of instrumentation, modeling, plant control, control strategy design and stability of control. The algorithm flows and codes, which are mostly based on MATLAB?, are given in many cases and allow for easy translation into applications.
With a clarity and simplicity of presentation, the two volumes are similarly structured for easy orientation.
process, processing, modelling, modeling, engineering, industry, control, algorithm, code, MATLAB, application, predictive, multi, single, input, output, instrumentation, discrete, method, Laplace, fuzzy, logic, controller, signal, model, parameter, variable, data, reconciliation, continuous, evolutionary, neural, network, stability, analysis, optimization, optimisation, programming, linear, non-linear, integer, mixed, example, problem, solution