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In [3 6], some stability criteria for switched dynamic neural networks were studied.
The second part is devoted to the switched dynamic controller design, based on a common Lyapunov function approach.
Here, we have the following natural question: Can we obtain a generalized H 2 stability criterion for switched dynamic neural networks.
In this context, this paper also includes an application of the developed theoretical framework to the stability of (in general) nonlinear switched dynamic systems.
To the best of the authors' knowledge, the generalized H 2 analysis of switched dynamic neural networks has not yet been studied in the literature.
This paper presents conditions for designing a switching rule that drives the state of the switched dynamic system to a desired equilibrium point.
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Then, based on the derived passivity condition, a desired Markovian switching dynamic output feedback controller is designed, which ensures the resulting closed-loop system is passive.
The controller is designed based on ROMs by combining a robust state controller with an APOD-based nonlinear Luenberger-type switching dynamic observer of the system states to reduce measurement sensor requirements.
Finally, we compare the performance of our proposed algorithm with that of other estimators (e.g., PF and moving ant estimator), and simulation results demonstrate its superior robustness of parameter estimation for switching dynamic system.
The proposed sets of criteria also guarantee exponential stability for switched multilayer dynamic neural networks without external input.
This paper investigates new sets of generalized H 2 exponential stability criteria for switched multilayer dynamic neural networks.
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