TAILIEUCHUNG - Process Modelling, Identification, and Control IModels
Technology is the making, modification, usage, and knowledge of tools, machines, techniques, crafts, systems, methods of organization, in order to solve a problem, improve a preexisting solution to a problem, achieve a goal, handle an applied input/output relation or perform a specific function. It can also refer to the collection of such tools, machinery, modifications, arrangements and procedures. Technologies significantly affect human as well as other animal species' ability to control and adapt to their natural environments. The word technology comes from Greek τεχνολογία (technología); from τέχνη (téchnē), meaning "art, skill, craft", and -λογία (-logía), meaning "study of-".[1] The term. | Jan Mikles Miroslav Fikar Process Modelling Identification and Control I Models and dynamic characteristics of continuous processes Slovak University of Technology in Bratislava This publication deals with mathematical modelling dynamical process characteristics and properties. The intended audience of this book includes graduate students but can be of interest of practising engineers or applied scientists that are interested in modelling identification and process control. Prepared under the project TEMPUS S-JEP-11366-96 FLACE - STU Bratislava TU Kosice UMB Banska Bystrica ZU Zilina Prof. Ing. Jan Mikles DrSc. Dr. Ing. Miroslav Fikar Reviewers Prof. Ing. M. Alexik CSc. Doc. RNDr. A. Lavrin CSc. Mikles J. Fikar M. Process Modelling Identification and Control I. Models and dynamic characteristics of continuous processes. STU Press Bratislava 170pp 2000. ISBN 80-227-1331-7. http fikar research other Hypertext PDF version April 8 2002 Preface This publication is the first part of a book that deals with mathematical modelling of processes their dynamical properties and dynamical characteristics. The need of investigation of dynamical characteristics of processes comes from their use in process control. The second part of the book will deal with process identification optimal and adaptive control. The aim of this part is to demonstrate the development of mathematical models for process control. Detailed explanation is given to state-space and input-output process models. In the chapter Dynamical properties of processes process responses to the unit step unit impulse harmonic signal and to a random signal are explored. The authors would like to thank a number of people who in various ways have made this book possible. Firstly we thank to M. Sabo who corrected and polished our Slovak variant of English language. The authors thank to the reviewers prof. Ing. M. Alexik CSc. and doc. Ing. A. Lavrin CSc. for comments and proposals that improved .
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