From Plant Data to Process Control [electronic resource] : Ideas for Process Identification and PID Design.
A professional level book aimed at process engineers in industry and researchers into systems and control engineering. It looks at theoretical advances in the area of process engineering and a wide variety of implementations.
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Taylor & Francis,
2000.
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Table of Contents:
- Book Cover; Title; Contents; Series Introduction; Acknowledgements; Introduction; USE OF PRESS FOR MODEL STRUCTURE SELECTION IN PROCESS IDENTIFICATION; PID CONTROLLER DESIGN: A NEW FREQUENCY DOMAIN APPROACH; RELAY FEEDBACK EXPERIMENTS FOR PROCESS IDENTIFICATION; Modelling from Noisy Step Response Data Using Laguerre Functions; PROCESS REPRESENTATION USING LAGUERRE MODELS .; Approximation of the process transfer function; Laguerre model in state space form; Generating the Laguerre functions; CHOICE OF THE TIME SCALING FACTOR; Modelling errors with respect to choice of p; Optimal choice of p.
- Optimal time scaling factor for first order plus delay systemsESTIMATION OF LAGUERRE COEFFICIENTS FROM STEP RESPONSE DATA; STATISTICAL PROPERTIES OF THE ESTIMATED COEFFICIENTS; Some special cases of disturbances; A STRATEGY FOR IMPROVING THE LAGUERRE MODEL .; MODELLING OF A POLYMER REACTOR; APPENDIX; Least Squares and the PRESS Statistic using Orthogonal Decomposition; LEAST SQUARES AND ORTHOGONAL DECOMPOSITION .; Orth.