Nicolas Hudson

Graduate Student, Mechanical Engineering

California Institute of Technology

1200 E California Blvd, M/C 104-44

Pasadena, CA, 91106, USA

Contact

hudson at caltech.edu

ph: (626) 395-4648

Current Research

HYBRID SYSTEM IDENTIFICATION: A hybrid system is a system that has both continuous and discrete states. In general they can be described as a set of continuous dynamics, or modes, with discrete switching between modes. Examples of a hybrid systems are as simple as a bouncing ball (with contact and free fall discrete states), an automobile transmission, or any continuous process controlled by a discrete controller. A Bayesian approach is being estimated, focusing on piece wise affine systems. The identification of a hybrid system requires both the number of continuous modes and contained dynamics be identified, as well as the guardlines (switching rules).

BRAIN MACHINE INTERFACE: A brain machine interface, through the use of surgically implanted electrode arrays, and associated decoding hardware and software, allows the correlation of neuron firing rates to external stimulus. Currently this work is conducted on the electro sense of sharks. This work is conducted in conjunction with several labs, including Prof. Richard Andersen  and Prof. Y.C. Tai.  This research focuses on developing electrode technology, and understanding biological sensory systems.

Previous Research

SHAKE TABLE IDENTIFICATION AND CONTROL:

AUTOMATED HIGHWAY CONTROL (MULTI-VEHICLE CONTROL):