Neural Networks for Control of Nonlinear Dynamical Systems and Manufacturing Processes

9521673刘易斯这个项目将研究神经网络（NN），用于非线性动力系统的控制。 它的目标是提供一个框架，可重复设计稳定的神经网络控制器的大类非线性系统。 它将使用非线性稳定性理论（例如，在60年代由PI之一引入的输入-输出稳定性和无源性概念）来研究NN的近似特性，重点是保证NN控制器在小跟踪误差和有界NN权重（意味着有界输入）方面的性能。 给出了神经网络控制器的可靠设计算法。 如果没有性能保证和合理的设计算法，神经网络控制器将理所当然地不会被控制系统界或美国工业界所接受。 神经网络控制器有可能显着改善在美国的制造过程控制，因为它们是无模型的，不需要显式的动态的工厂。 UTA的工作将在自动化和机器人研究所（ARRI）完成，以便将技术转移到工业领域。 开发的神经网络控制器将被实施的Cable-Link系统测试床，然后安装在制造表面处理站。 ARRI表面处理联盟提供了相应的资金来资助这项工业应用所需的大量技术工作。 ARRI经理J. M. Fitzgerald，PE和刘凯博士将被分配到匹配基金的基础上监督这个项目。

9521673 Lewis This project will investigate investigate neural network, (NN), for control of nonlinear dynamical systems. Its objective is to provide a framework for repeatable design of stable NN controllers for large classes of nonlinear systems. It will use nonlinear stability theory (e.g. input -output stability and passivity notions introduced in the 60's by one of the PIs) to study approximation properties of NN, with emphasis on guaranteeing NN controller performance in terms of small tracking errors and bounded NN weights (implying bounded inputs). Re eatable design algorithms will be given for NN controllers. Without guaranteed for performance and sensible design algorithms, NN controller s will rightfully not be accepted bye the control system community or US industry. NN controllers have the potential to significantly improve manufacturing process control in the US, since they are model-free and do not require explicit dynamics of the plant. The UTA work will be done at the Automation and robotics Research Institute (ARRI), so that technology transfer to industry will occur. The NN controllers developed will be implemented on the Flexibly-Link Systems Testbed, and then installed on the Manufacturing Surface Finishing Station. The ARRI Surface Finishing Consortium has offered matching money to finance the extensive technical work needed for this industrial application. ARRI Manager J. M. Fitzgerald, PE, and Dr. Kai Liu will be assigned on a matching fund basis to supervise this project.