Recursive Nonlinear System Identification Using an Adaptive WaveARX Network
Junghui Chen, Duane D. Bruns · Industrial & Engineering Chemistry Research · 1996
The recently developed WaveARX neural network has its methodology extended to include net adaptation and on-line implementation in real time. The net evolves by changing its architecture: generation, annihilation, or change in location of neurons. Systematic design procedures remove the traditional network problems of no guidelines to define the architecture and the often strong dependence of the trained network parameters on their initial conditions. In addition, the design procedures provide network information needed for evolution. Two demonstrations are implemented on-line using process simulations of a chaotic map and a pH CSTR model. These provide illustrations of several capabilities of the new network, along with comparisons to other identification techniques.