Systems and control theory has experienced significant development in the pastfew decades. New techniques have emerged which hold enormous potential forindustri... » 

Systems and control theory has experienced significant development in the pastfew decades. New techniques have emerged which hold enormous potential forindustrial applications and which have therefore also attracted much interestfrom academic researchers. However the impact of these developments on theprocess industries has been limited.The purpose of Multivariable System Identification for Process Control is tobridge the gap between theory and application and to provide industrialsolutions based on sound scientific theory to process identificationproblems. The book is organized in a readerfriendly way starting with thesimplest methods and then gradually introducing more complex techniques. Thusthe reader is offered clear physical insight without recourse to large amountsof mathematics. Each method is covered in a single chapter or section andexperimental design is explained before any identification algorithms arediscussed. The many simulation examples and industrial case studies demonstratethe power and efficiency of process identification helping to make the theorymore applicable. MatlabTM Mfiles designed to help the reader to learnidentification in a computing environment are included. «