Liuping Wang

From Plant Data to Process Control (eBook, PDF)

Ideas for Process Identification and PID Design

• Format: PDF

Produktbeschreibung

Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 240
• Erscheinungstermin: 21. April 2014
• Englisch
• ISBN-13: 9781482273007
• Artikelnr.: 42564819

Autorenporträt

Wang, Liuping

Inhaltsangabe

1. Introduction 2. Modelling from Noisy Step Response Data Using Laguerre
Fuctions 3. Least Squares and the PRESS Statistic using Orthogonal
Decomposition 4. Frequency Sampling Filters in Process Identification
5. From FSF Models to Step Response Models 6. New Frequency Domain PID
Controller Design Method 7. Tuning Rules for PID Controllers 8. Recursive
Estimation from Relay Feedback Experiments; Bibliography; Index