Real-Time Coordination

Coordinating individual systems to function dynamically and simultaneously in all situations.

Visible to the public CPS: Breakthrough: Solar-powered, Long-endurance UAV for Real-time Onboard Data Processing

Project Details
University of Illinois at Urbana-Champaign

Visible to the public CfP: Time Critical Cyber Physical Systems (TC-CPS 2018)

CALL FOR PAPERS - Extended Deadline November, 12 2017

1st International Workshop on Time Critical Cyber Physical Systems (TC-CPS 2018)

Co-located with IEEE WCNC 2018

April 15, 2018 | Barcelona, Spain |


Visible to the public  TC-CPS 2018
Apr 15, 2018 7:00 am - 6:00 pm EDT

1st International Workshop on Time Critical Cyber Physical Systems (TC-CPS 2018)

As digital computing and communication become faster, cheaper and less power consuming, these capabilities are increasingly embedded in many objects and structures in the physical environment. Cyber-Physical Systems (CPS) are co-engineered interacting networks of physical and computational components. These systems will provide the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas.


Visible to the public Call for Papers: IEEE Embedded Systems Letters, Special Issue on Real-Time Technologies in CPS

IEEE Embedded Systems Letters
Call for Papers: Special Issue on Real-Time Technologies in CPS
Submission Deadline: 30th January, 2018


Visible to the public Nonsmooth Barrier Functions with Applications to Multi-Robot Systems

As multi-agent systems become ubiquitous, the ability to satisfy multiple system-level constraints in these systems grows increasingly important. In applications ranging from automated cruise control to safety in robot swarms, barrier functions have emerged as a tool to provably meet such constraints by guaranteeing forward invariance of a set. However, satisfying multiple constraints typically implies formulating multiple barrier functions, bringing up the need to address the degree to which multiple barrier functions may be composed through Boolean logic.


Visible to the public Event-Triggered Interactive Gradient Descent for Real-Time Multi-Objective Optimization

This paper proposes an event-triggered interactive gradient descent method for solving multi-objective optimization problems. We consider scenarios where a human decision maker works with a robot in a supervisory manner in order to find the best Pareto solution to an optimization problem. The human has a time-invariant function that represents the value she gives to the different outcomes. However, this function is implicit, meaning that the human does not know it in closed form, but can respond to queries about it.