Dr. Peter M. Young
Mathematical system theory, and its application to control systems. Development of system analysis theory, to examine the fundamental performance limitations and tradeoffs inherent to a given system. Development of optimal controller synthesis methodologies, for high performance controller design. Control of uncertain systems, and the theory of robust control. In particular problems involving both uncertain parameters in the system, and uncertain dynamics. Development of strategies for the analysis and design of robust learning controllers, which combine robust and reinforcement learning control. Associated theoretical and computational issues, including the development of practical algorithms, enabling the application of these theoretical tools to large engineering problems. Application of these techniques to engineering problems, particularly in the areas of structural vibration suppression, control of HVAC systems, energy storage and power distribution systems, disk drives, biological systems, and haptic interfaces. Multi-sensory computers and augmented human-computer interaction.