in this paper, under the existence of system uncertainties, external disturbances, and input nonlinearity, global finite time synchronization between two identical attractors which belong to a class of second-order chaotic nonlinear gyros are achieved by considering a method of continuous smooth second-order sliding mode control (hoamsc). it is proved that the proposed controller is robust to m...

Can a neural network trained by the time series of system A be used to predict evolution B? This problem, knowing as transfer learning in broad sense, is great importance machine and data mining, yet has not been addressed for chaotic systems. Here we investigate systems from perspective synchronization-based state inference, which reservoir computer infer unmeasured variables B, while differen...

We study the Bohmian dynamics of a large class bipartite systems non-ideal qubit systems, by modifying basic physical parameters an ideal two-qubit system, made coherent states quantum harmonic oscillator. First we case with truncated energy levels and amplitudes. Then non-truncated but small amplitudes finally combination above cases. In all cases find that chaotic trajectories are approximate...

This paper investigates synchronization dynamics of a large class of chaotic delayed systems with all the parameters unknown. By a simple combination of adaptive control and linear feedback with the updated laws, some simple yet generic criteria for determining global synchronization based on parameter identification of uncertain chaotic delayed systems are derived by using the invariance princ...