CAREER: Sensor-Based Adaptive Control and Prognosis of Complex Distributed Systems

9985739 Sarangapani电信系统，无线网络，制造业和其他地方的新发展对先进的离散时间自适应控制器的设计提出了严格的要求。 因此，离散时间版本的控制器技术是非常重要的，因为所有的控制器的实现是在一个数字计算机上进行。 此外，由于传感器、硬件的快速发展，以及更重要的是由于环境问题而对这些系统施加的法规，对包括工业、DoD在内的复杂非线性系统的性能要求变得更加严格。 其结果是一个复杂的大规模分布式现代系统。 自适应和神经网络（AN）控制工具和传感器技术有望改善不确定性下的学习、振动抑制、精确运动控制和微对象操纵、微传感器开发、死区补偿、诊断/故障学等。本项目的目标是提供下一代控制器，该控制器应能够与各种传感器接口，允许重新配置和快速原型设计能力，具有保证的性能，并得到严格和可重复的设计和数学框架的支持，包括：机器级操作的高级实时反馈控制器的开发和实现。基于微传感器的装配/MEMS器件和系统的控制。诊断/预测应用中基于传感器的自适应控制器的开发和实现。通信网络实时自适应控制器的开发和实现。*

9985739SarangapaniNew developments in telecommunication systems, wireless networks, manufacturing, and elsewhere place severe demands on the design of advanced discrete-time adaptive controllers. Therefore, discrete-time version of controller techniques is of importance since all the controller implementations are carried out on a digital computer. Further, the performance requirements for complex nonlinear systems including industrial, DoD are becoming more stringent due to rapid advances in sensors, hardware, and more importantly the regulations imposed on these systems due to environmental concerns. The result is a complex large-scale distributed modern day system. Adaptive and neural network (AN) control tools and sensor technologies hold out promise of improved learning under uncertainty, vibration suppression, precise motion control and micro object manipulation, microsensor development, deadzone compensation, diagnostics/prognostics and more.The goal of this project is to provide a next generation controller, which should be able to interface to a wide variety of sensors, allowing reconfiguration and rapid prototyping capabilities, has guaranteed performance, and is supported by a rigorous and repeatable design and mathematical framework, to include: Development and Implementation of Advanced Real-Time Feedback Controllers for Machine Level Operations.Development and Implementation of Microsensor-based Assembly/Control of MEMS devices and Systems. Development and Implementation of Sensor-based Adaptive Controllers for Diagnostic/Prognostic Applications.Development and Implementation of Real-Time Adaptive Controllers for Communication Networks.***