Fuzzy segregation based identification and control of nonlinear dynamic systems

We propose a new method to model and control complex nonlinear dynamic systems. The suggested scheme employs an output curve methodology to determine the initial set of dynamic clustering spaces. The choice of the optimal dynamic clustering space is made through an analysis of cross validation perfo...

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Bibliographische Detailangaben

Hauptverfasser:	Venkat, A.N., Gudi, R.D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Chemical engineering Chemical technology Control systems Fuzzy control Fuzzy systems Nonlinear control systems Performance analysis Scheduling algorithm Space technology Switches
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