From Plant Data to Process Control: Ideas for Process Identification and PID Design

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