UCLA

In the past few decades, computational power and speed has made it such that the Controls literature has moved away from addressing issues of finite-word-length (FWL) issues, quantization, and limited computational resources. On the other hand, the signal processing community has studied this issue extensively. In recent years, the introduction of Nano and Microelectromechanical systems (MEMS) with large bandwidth systems requires the use of high-sampling rate controllers. To satisfy such high sampling-rates, fixed-point based platforms such as Field Programmable Gate Arrays (FPGAs) and fixed-point micro-controllers are needed. This trend results in a need for high-sampling rate controllers that are more sophisticated than simple loop shaping while addressing the issues of FWL effects and limited computational resources. The aim of this dissertation is to introduce novel controllers that incorporate signal processing techniques and address these issues with controller design/realizations to control high bandwidth electro-mechanical systems.