A new approach for instantaneous pole placement and its application in control of nonlinear time-varying systems

In this paper, we first show that dynamical recurrent neural networks for online computation of feedback gain that in recent years have been used for pole placement of nonlinear systems is not reliable, and then suggest a new strategy for overcoming its drawback. The result of this strategy is globa...

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Bibliographic Details
Published inProceedings World Automation Congress, 2004 Vol. 16; pp. 1 - 6
Main Authors Karami-Mollaee, A., Karami-Mollaee, M.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Computer networks
Control systems
instantaneous linearization
Neural networks
Neurofeedback
nonlinear control
Nonlinear control systems
Nonlinear systems
Pole placement
Stability
State feedback
Time varying systems
Vectors
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Summary:In this paper, we first show that dynamical recurrent neural networks for online computation of feedback gain that in recent years have been used for pole placement of nonlinear systems is not reliable, and then suggest a new strategy for overcoming its drawback. The result of this strategy is global exponential stability of nonlinear system.
ISBN:1889335215
9781889335216