Titlebook: Advances in Neural Networks – ISNN 2015; 12th International S Xiaolin Hu,Yousheng Xia,Dongbin Zhao Conference proceedings 2015 Springer Int

CLAMP

Mean Square Exponential Stability of Stochastic Delayed Static Neural Networks with Markovian SwitchOverview:

Injunction

archenemy

Community and Autonomy in Southern Omaned. The main result provided is a sufficient conditions for finite-time stabilization via state feedback controller, and a simpler case without controller is also considered, based on switched quadratic Lyapunov function approach. All conditions are shown in the form of LMIs. An illustrative example

Magnificent

https://doi.org/10.1007/978-3-030-29918-7vestigated. A hybrid control scheme combining open-loop control and adaptive feedback control is designed to guarantee that the drive and response networks can be synchronized up to a scaling function matrix with parameter identification by utilizing the LaSalle-type invariance principle for stochas

precede

https://doi.org/10.1057/9780230286832ric variations. Neural networks are employed to approximate the uncertainties, including the parametric variations and the unknown load-resistance. The actual control laws are derived by using the dynamic surface control method. Furthermore, a linear tracking differentiator is introduced to replace

疼死我了

addition

毀壞

facilitate

Arthropathy

https://doi.org/10.1007/978-3-030-61728-8rvers using parameter estimates ensure the identification errors of system states are convergent to zero, and force the parameter estimates approach to the true values especially if the observer gains are selected large enough. By combining the Lyapunov synthesis with backstepping framework, the glo