Sentence examples for identification of uncertain from inspiring English sources

In this paper, we study hybrid synchronization and parameter identification of uncertain interacted networks and investigate inner synchronization and outer synchronization between these two networks.

In this paper, we consider fuzzy identification of uncertain nonlinear systems in Takagi Sugeno (T S) form for the purpose of robust fuzzy control design.

The objective of this paper is to construct reliable belief rule-based (BRB) models for the identification of uncertain nonlinear systems.

Finally, a numerical study of a simplified car dynamics is conducted to demonstrate the capability and effectiveness of the BRB identification models for the modelling and identification of uncertain nonlinear systems.

Based on the Lyapunov theorem and Lipschitz condition, the network controllers and the identification laws of uncertain parameters are designed, and they are efficiently used to achieve the cluster synchronization and the identification of uncertain parameters.

Second, by employing the invariance principle of functional differential equations, a simple, analytical, and rigorous adaptive feedback scheme is proposed for the robust synchronization of almost all kinds of coupled neural networks with time-varying delay based on the parameter identification of uncertain delayed neural networks.

At the same time, the uncertain parameters in dynamic equations belonging to network nodes can also be identified accurately via designing the identification laws of uncertain parameters.

At the same time, we also design the identification laws of uncertain parameters and the adaptive laws of the time-varying coupling matrix elements.

Further, the sliding surfaces, the identification laws of uncertain parameters and the control inputs are designed, and the condition of realizing projective synchronization of uncertain scale-free network is obtained.

Further, by choosing the appropriate sliding surface, the identification law of uncertain parameter, the adaptive law of the time-varying coupling matrix element and the control input of network are designed, it is sure that the uncertain time-varying network can synchronize effectively the synchronization target.

This paper considers the problem of adaptive synchronization and parameter identification of an uncertain chaotic oscillator.