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Press releases

PERATON LABS AWARDED DARPA CONTRACT FOR REAL-TIME ADAPTIVE CONTROL OF PHYSICAL SYSTEMS

2/23/2023

 
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  • ​Machine learning-based technology will enable ground vehicles, ships, drone swarms, and robotic systems to adjust the way they operate to events not envisioned at design time.
  • Adaptive Control with AI solution leverages sensors and AI to provide assistance to the system’s operator, whether a human operator or an autonomous controller.

Peraton Labs has been awarded a DARPA contract to develop machine learning-based technology to enable ground vehicles, ships, drone swarms, robotic systems, and other long-lived physical systems to adapt to unexpected events. Under DARPA’s Learning Introspective Control program, the Peraton Labs team will develop and evaluate capability to update the system control algorithm in real time and provide guidance to the system’s human operator or autonomous controller.

Military systems are designed to operate over a wide range of environments; nonetheless, over lengthy service durations, unexpected conditions arise which cause systems to operate out of their design limits. Currently the burden is on the operator – human or autonomous – to maintain effective and safe control of systems operating in unusual conditions due to damage, environmental extremes, and other unanticipated situations.

“Peraton Labs will research, design, implement, and test a solution called Adaptive Control with AI (ACAI) to assist operators, human or machine, in maintaining control of systems in adverse situations,” said Petros Mouchtaris, PhD., president of Peraton Labs. “We are excited to develop and deliver real-time adaptive control technology that provides military platforms with substantial advantages in speed, agility, and responsiveness for operations in dynamic theater environments.” 
​
ACAI leverages data from on-board sensors and applies a sophisticated combination of machine learning, constrained optimization, and a robust optimal control framework to select optimal controls based on the current system state and environmental conditions. ACAI’s intelligent control algorithm coordinates between performance and safety to provide high-performance controls while also maintaining the safety and stability of the system.

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  • About
    • Our Story
    • Markets we serve
    • Leadership
    • Contact us
    • Visit peraton.com →
  • Research
    • 5G
    • Cybersecurity
    • Electronic warfare
    • Machine learning and data analytics
    • Mobility
    • Optical, photonics and quantum
    • Wireless systems and networks
  • Services
    • Critical infrastructure
    • Networking and cloud
    • Service and data assurance
    • Other services
  • Products
    • Critical infrastructure
    • Cybersecurity
    • Network defense
    • Spectrum solutions
    • Wireless solutions
    • Other products
  • News and media
    • Events
    • Highlights >
      • Improving Power Grid Physical Security
      • CLOSURE Toolchain for Cross-Domain Solutions
      • Peraton Labs Supports Cyber Exercise for Nebraska Army National Guard
      • Conceptual Simulation for Designing High Performance Computers
      • FLEET: Reconfigurable Optical NICs for Fast Data Transfer
      • Turbocharge Simulation
      • Analytics and AI for Predictive Maintenance
      • Minimizing the Cyberattack Surface
    • Press releases
    • Media hits
  • Careers
    • Life at the Labs
    • Tackling Tomorrow's Challenges
  • Search