# Control

Current research includes optimal control, robust control, computational methods in control systems, geometric control, system identification, linear system theory and algebraic structure.

## Faculty

## Related Courses

- EE 452 Digital Control Systems
- EE 453 Modern Control Theory
- EE 618 Optimization Theory and Practice
- EE 640 Applied Random Processes
- EE 650 Linear System Theory
- EE 651 Nonlinear Control Systems
- EE 652 Optimal Control Systems
- EE 655 Robust Control
- EE 615 Advanced Signal Processing
- EE 642 Detection and Estimation Theory

## Projects

**Modal suppression of flexible modes using H-infinity techniques :**This project studies the design of robust controllers for the Boeing 777-300 airplane for vibration suppresion.

(Investigators: Syrmos )

**Disturbance attenuation in lateral acceleration signals due to gust wind :**This project studies the design of controllers for gust wind disturbance attenuation to the lateral acceleration signal used in the longitudinal axis control law.

(Investigators: Syrmos )

**Electric & Hybrid Vehicle Toolboxes and Optimization :**In this project, we have developed a Simulink Toolbox for Series configuration EHV simulation. We obtain system descriptions using Matlab and design control laws that will satisfy energy performance criteria.

(Investigators: Syrmos )

**Modeling of the Diffusion Equation using 3-D Finite Element Methods and Identification :**In this project we model the diffusion equation as an ODE using 3-D FEM. While this method improves the accuracy of the solution it creates challenges in the computation of the solution due to the dimensionality of the problem. Methods like inverse estimation, Lanczos iteration and the Arnoldi step are used for the solution and reduction of the problem.

(Investigators: Syrmos )