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A new method for identification and control of nonlinear dynamic systems

โœ Scribed by Xianfeng Ni; Michel Verhaegen; Ardjan J. Krijgsman; Henk B. Verbruggen


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
830 KB
Volume
9
Category
Article
ISSN
0952-1976

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โœฆ Synopsis


This paper presents a new model for nonlinear systems which consists of two parts: a linear part and a static nonlinear output part. The linear part is a linear combination of the model's outputs, where the static nonlinear function maps the output of the linear part to the model's output. This model can be applied to represent a relatively large class of nonlinear dynamic systems with fading memory. Based on this model, one can directly introduce the corresponding output feedback control law. The identification and control method is applied to two simulation examples of a discrete-time system and the dynamics of a complicated missile to demonstrate the performance and efficiency of the proposed method.


๐Ÿ“œ SIMILAR VOLUMES


Invertible nonlinear parametric function
โœ Sergio M. Savaresi; Guido O. Guardabassi ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 463 KB

In the field of data-based control system design, nonlinear parametric functions play a key role, in fitting sets of measured data. In many cases, one of the constraints one may wish to impose on the estimated function is the invertibility with respect to one input, a constraint typically hard to ha