Name
Abstract | ||
|---|---|---|
This paper proposes a transfer function parameter identification method, applicable to SISO systems of any order. Parameter identification is posed as a (non-convex) squared output error minimization problem, numerically solved utilizing Newton-Raphson iteration with back tracking line search. Focus lies on computing the cost function gradient and Hessian with respect to the parameter vector and on finding a feasible start point. The method is demonstrated for FOTD model identification. A modified relay non-linearity is utilized in order to obtain most input signal energy at a predefined phase, without a priori system information. The identification method is evaluated on a batch of common process industry processes. Finally, conclusions and suggestions on future work are provided. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ACC.2010.5531322 | American Control Conference |
Keywords | DocType | ISSN |
newton-raphson method,backtracking,parameter estimation,process control,transfer functions,hessian,newton-raphson iteration,siso systems,back tracking line search,cost function gradient,modified relay feedback,squared output error minimization problem,transfer function parameter identification,transfer function,newton raphson method,identification,cost function,mathematical model,model identification,state space,newton raphson,parametric,line search,oscillators | Conference | 0743-1619 |
ISBN | Citations | PageRank |
978-1-4244-7426-4 | 2 | 0.48 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soltesz, K. | 1 | 10 | 1.70 |
| Hägglund, T. | 2 | 2 | 0.48 |
| Åström, K.J. | 3 | 2 | 0.48 |