Team: Feng Zhao (PI), Xenofon Koutsoukos, James Kurien, Julia Juan Liu, Patrick Cheung
Student interns: Rong Su, Sriram Narasimhan
Address: Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA

Objective

The broad objective of the PARC project is to devleop scalable algorithms and software for sensor data analysis and model updating to support on-line failure diagnosis and compensation for fault-tolerant operation of sensor-rich control systems, leveraging recent trends in MEMS sensors and networking.

We will focus on (1) hybrid mode estimation using a combination of signal estimation and model-based reasoning, and (2) distributed qualitative diagnosis.

New Ideas

• Blend hybrid estimation and qualitative diagnosis to enable rapid diagnosis and recovery
• Scale up to complex distributed systems through multiple hypothesis management

• Applicable to realistic aerospace problems
• High-resolution diagnosis suitable for control
• Computationally-tractable

• Publications
• Recent accomplishments
• PARC Collaborative Sensing Projects