Computing policies and performance bounds for deterministic dynamic programs using mixed integer programming

Citation

Cogill, R.; Hindi, H. Computing policies and performance bounds for deterministic dynamic programs using mixed integer programming. American Control Conference (ACC); 2011 June 29 – July 1; San Francisco CA.

Abstract

We present a method for computing control policies and performance bounds for deterministic finite-state/finite-action dynamic programs, with the infinite horizon discounted cost, using a receding horizon approach. The computations are done by solving mixed integer programs of moderate size. The efficacy of the proposed technique is demonstrated on a job-shop scheduling example.

Read more from SRI

  • surgeons around a surgical robot

    The SRI research behind today’s surgical robotics

    Intuitive’s da Vinci 5 system represents a major leap in robotic-assisted medicine. It all started at SRI, which continues to advance teleoperation technologies.

  • a collage of digital graphs

    A banner year for quantum

    SRI-managed QED-C’s annual report on quantum trends captures an industry accelerating rapidly from technical promise toward major global impact.

  • ICE Cube containing SRI’s aerogel experiment, photographed prior to launch. Source: Aerospace Applications North America

    An SRI carbon capture experiment launches into space

    By synthesizing carbon-absorbing aerogels in microgravity, SRI research will give us a rare glimpse into how these materials could be radically improved.