The introduction of new in situ sensing creates the possibility of directly controlling critical process variables in plasma enhanced chemical vapor deposition systems (PECVD). The complexity of this process makes it necessary to develop empirical models of the system dynamics. This paper describes the experimental and numerical procedures for identifying both transfer function and recurrent ne...

The theory of diffusive particle acceleration explains the spectral properties of the cosmic rays below energies of ≃ 10 eV as produced at strong shocks in supernova remnants (SNR’s). To supply the observed flux of cosmic rays, a significant fraction of the energy released by a supernova has to be transfered to cosmic rays. The key to the question of the efficiency of SNR’s in producing cosmic ...

The introduction of new in situ sensing creates the possibility of directly controlling critical process variables in plasma enhanced chemical vapor deposition systems (PECVD). The complexity of this process makes it necessary to develop empirical models of the system dynamics. This paper describes the experimental and numerical procedures for identifying both transfer function and recurrent ne...

A theoretical framework has been developed for the study of the nonlinear gravitational (g-) mode of a line-tied flux tube near marginal stability. The theory is based on an expansion using two small parameters, ∼ |ξ|/Leq 1, and n−1 ∼ k‖/k⊥ 1, with ξ denoting the plasma displacement, Leq the characteristic equilibrium scale, k‖ and k⊥ the dominant wavenumber of perturbation parallel and perpend...

Abstract Intense sub-cycle electromagnetic pulses allow one to drive nonlinear processes in matter with unprecedented levels of control. However, it remains challenging scale such sources the relativistic regime. Recently, a scheme that utilizes laser-driven wakes plasmas amplify and compress seed laser produce tunable, carrier-envelope-phase stable, has been proposed. Here, we present parametr...

  Propagation of dust ion acoustic waves in plasmas composed of nonthermal distributed electrons and stationary dust particles is investigated. Nonlinear Schrdinger equation is derived to describe small amplitude waves, using the reduction perturbation technique. Modulation instability of dust ion acoustic waves is analysed for this system. Parametric investigation indicates that growth rate of...

This article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (MPC) of a chemical plant. A combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (MIMO) process with time delays.  An optimization procedure for a neural MPC algorithm based on this model is then developed. T...

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...