Abstract
A practical approach to the identification of process dynamics is presented. The method assumes that experiment on the process due to input disturbance is possible and the output measurements can be recorded by an appropriate choice of time and duration. The basic structure of the model is in transfer function form. A nonlinear optimization programme is developed for estimating the best possible set of coefficients of the model transfer function, such that the error between the measurement and model output is a minimum. The possibility of using Powell and Davidon-Fletcher-Powell minimizing algorithms is discussed, and both are found to be suitable for the application. This program is applicable to many experimental situations and is illustrated by means of examples. The advantage of the program is that it is easy to operate, and it can be implemented for control system design or system modelling.
| Original language | English |
|---|---|
| Title of host publication | Applications of Nonlinear Programming to Optimization and Control: Proceedings of the 4th Ifac Workshop |
| Publisher | r IFAC by Pergamon Press |
| Pages | 55-61 |
| ISBN (Print) | 80305741 |
| Publication status | Published - 1984 |
| Externally published | Yes |