News

Deep Learning Networks and Sensorimotor Control

08-08-17

Professor John Doyle and colleagues are among only nineteen groups in the United States to receive National Science Foundation (NSF) funding to conduct innovative research focused on neural and cognitive systems. They aim is to integrate the capabilities of deep learning networks into a biologically inspired architecture for sensorimotor control that can be used to design more robust platforms for complex engineered systems. [NSF release]

Tags: EE research highlights CMS John Doyle

IEEE American Control Conference Best Student Paper Award

05-26-17

Postdoctoral Scholar Nikolai Matni and alumnus Yuh-Shyang Wang, working with Professor John Doyle, have received the Best Student Paper Award at the IEEE American Control Conference 2017 for the paper entitled System level parameterizations, constraints and synthesis. [Read the paper]

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Next-Generation Distribution Infrastructure

12-17-15

Caltech’s smart grid team led by Professors John DoyleSteven Low, and Adam Wierman along with their collaborators have been awarded $3.9 million for an Advanced Research Projects Agency - Energy (ARPA-E) Network Optimized Distributed Energy System (NODES) project entitled "Real-time Optimization and Control of Next-Generation Distribution Infrastructure."  NODES is ARPA-E’s new program focused on enabling more than 50% usage of renewable power on the grid. The Caltech team will develop a comprehensive distribution network management framework that unifies real-time voltage and frequency control at the home/distributed energy resource controllers’ level with network-wide energy management at the utility/aggregator level. [Learn more]

Tags: EE energy CMS Adam Wierman John Doyle Steven Low

TEDxCaltech: Advancing Humanoid Robots

01-17-13

Graduate student Matanya B. Horowitz, who works with Professors Joel Burdick and John Doyle, is one of the speakers at TEDxCaltech. He is active in several Defense Advanced Research Projects Agency (DARPA) challenges that seek to develop better control mechanisms for robotic arms, as well as develop humanoid robots that can do human-like tasks in dangerous situations, such as disable bombs or enter nuclear power plants during an emergency. [Caltech News]

Tags: MCE CMS John Doyle Joel Burdick Matanya Horowitz