Effect of Steady and Relaxation Oscillations in Brillouin-Active Fiber Structural Sensor Based Neural Network in Smart Structures

Abstract

Research and development efforts are ongoing in the implementation of a totally integrated fiber-is-the sensor for structural and environmental sensing using the highly efficient Brillouin effect. Sensitivity has further improved by incorporating the smart structures for elevated actuation power, and logic memory or neural network capabilities. The presence of Brillouin and Kerr nonlinearity in the fiber together with inherent feedback delay has been shown to lead to instabilities and ultimately optical chaos. The deterministic nature of this process and its multiple bifurcations may be suppressed by a number of scheme, such as continues interference feedback, while its extremely large memory capacity exploited. These memories can be estimated as an optical logic function used for all-optic in-line switching, channel selection, amplification, oscillation in optical communication, optical logic elements in optical computation based on neural networks applications and hardware implementation.