The enhancement of the optical nonlinear effects at nanoscale is important in the on-chip optical information processing. We theoretically propose the mechanism of the great Kerr nonlinearity enhancement by using anisotropic Purcell factors in a double-Λ type four-level system, i.e., if the bisector of the two vertical dipole moments lies in the small/large Purcell factor axis in the space, the...

A back-propagation neural network is applied to a nonlinear self-tuning tracking problem. Traditional self-tuning adaptive control techniques can only deal with linear systems or some special nonlinear systems. The emerging back-propagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for adaptive control applications. A scheme for combining back-...

An adaptive H∞ control for positioning mechanism with input nonlinearity is proposed in this paper. It is assumed that the input nonlinearity can be described as unknown parameters term and bounded disturbance term, an adaptive H∞ control method is given. Proposed control strategy does not include a discontinuous function, therefore, it can avoid to cause the chattering phenomena. Moreover, in ...

We consider the Sturm — Liouville problem with discontinuous nonlinearity, control and perturbation. Previously obtained results for equations a spectral parameter operator are applied to this problem. By variational method, we have established theorems on existence of solutions nonlinearity optimal problem, as well topological properties set acceptable “control state” pairs. A one-dimensional ...

This paper involves a novel adaptive control approach of flexible wing system with hysteresis nonlinearity. The usual design strategies based on the ordinary differential equations (ODEs) are inapplicable due to described in partial (PDEs), and algorithm becomes highly intricate. Firstly, inverse dynamic model is introduced compensate for Considering unknown external disturbances, an technique ...