SBIR Phase I: Recurrent Adaptive Critics for Nonlinear Systems Control

* 摘要 小行星9660604 这个小企业创新研究第一阶段的项目将开发一个实用的方法，适用于真实的世界工程应用新的非线性自适应批评的原则，其中包括递归神经网络。精确自动化最近发展了一种强有力的新理论，保证稳定的自适应临界控制系统。该理论描述了自适应批评算法的子系统（动作，模型，批评）及其相关学习算法必须具有的某些属性，以确保稳定的控制。递归神经网络是实现这些特性的有力工具。我们将运用我们的理论来发展一个理论和实验基础，以理解具有循环神经网络子系统的自适应批评。该算法将学习“在线”控制一个高度非线性系统，保证稳定性和最佳性能保证的限制。第一阶段将产生一个可商业化的软件系统原型。 在第二阶段，我们将开发特殊用途的硬件用于销售。 本研究中开发的自适应评论器将专门针对飞机上的应用，使飞机工业成为这项技术最明显的商业竞技场。 由于自适应评论算法是非常普遍的，它也将在任何需要良好的非线性控制的工业中有应用。这些工业的例子有化学工业、汽车工业和复印机工业。***

*** ABSTRACT 9660604 Mathia This Small Business Innovation Research Phase I project will develop a practical methodology for applying to real world engineering applications new nonlinear adaptive critic principals which incorporate recurrent neural networks. Accurate Automation has recently developed a powerful new theory which guarantees stable adaptive critic control systems. This theory describes certain properties that the subsystems of the adaptive critic algorithm (action, model, critic) and their associated learning algorithms must have to ensure stable control. Recurrent neural networks are a powerful tool which can be applied to realize these properties. We will apply our theory to the development of a theoretical and experimental basis for understanding adaptive critics with recurrent neural network subsystems. The algorithm will learn 'on-line' to control a highly nonlinear system, with stability guaranteed and optimal performance guaranteed in the limit. Phase I will result in prototype of a commercializable software system. In Phase II, we will develop special purpose hardware for sale. The adaptive critic under development in this research will be targeted specifically for application in aircraft, making the aircraft industry the most obvious commercial arena for this technology. Because the adaptive critic algorithm is very general, it will also have applications in any industry requiring good nonlinear controls. Examples of these industries are the chemical industry, the automobile industry, and the photocopier industry. ***