1. Grant Number: IDM-0097438 Institution of PI: UCLA PIs: Wesley Chu and Chih-Ming HoTitle: Control of Systems with MEMS Sensors and Actuators via Data Mining Techniques • Data mining technique is feasible to summarize the complex and nonlinear relationship of actuation sequences and operating environment with flight trajectory. • Such relationship provides insight of flight control for delta wing aircraft. Derived the inter-relationship of the behavior of flight dynamics of the delta wing aircraft with actuation sequences, operating environment (e.g. wind speed, angle of attack of the wind speed to the aircraft), with fight trajectories. • Based on the operating environment such as wind speed, angle of attack of wind to the aircraft, actuators are used to control the flight trajectory • Actuator configuration (Actuator # and position) is used for flight control (input). Sensors are used to monitor the corresponding state (e.g. forces and moments) of the aircraft (output) • Data mining techniques are used to summarize the nonlinear input/output relationship between actuator control and the sensor output data sequences Data mining techniques can be used to derive and summarize scientific sequence data from wind tunnel experiments