Neural Networks for Adaptive Control

该项目是一位领先的神经网络研究人员、一位计算机科学家和一位化学工程师之间的跨学科合作，旨在开发和测试神经网络的先进概念来控制系统。从长远来看，正在研究的方法有望处理更传统形式的控制理论无法处理的噪声非线性系统。在现实的背景下，将尝试实际应用于化学工程问题。

This project is an interdisciplinary cooperation between a leading neural network researcher, a computer scientist, and a chemical engineer, to develop and test advanced concepts of neural networks to control systems. The methods under study promise, in the long-term, an ability to handle noisy nonlinear systems beyond the reach of more conventional forms of control theory. Practical applications to chemical engineering problems will be attempted, in a realistic context.