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The Theory of Fast and Robust Adaptation
Naira Hovakimyan

Citation
Naira Hovakimyan. "The Theory of Fast and Robust Adaptation". Talk or presentation, 13, November, 2007.

Abstract
The history of adaptive control systems dates back to early 50-s, when the aeronautical community was struggling to advance aircraft speeds to higher Mach numbers. In November of 1967, X-15 launched on what was planned to be a routine research flight to evaluate a boost guidance system, but it went into a spin and eventually broke up at 65,000 feet, killing the pilot Michael Adams. It was later found that the onboard adaptive control system was to be blamed for this incident. Exactly thirty years later, fueled by advances in the theory of nonlinear control, Air Force successfully flight tested the unmanned unstable tailless X-36 aircraft with an onboard adaptive flight control system. This was a landmark achievement that dispelled some of the misgivings that had arisen from the X-15 crash in 1967. Since then, numerous flight tests of Joint Direct Attack Munitions (JDAM) weapon retrofitted with adaptive element have met with great success and have proven the benefits of the adaptation in the presence of component failures and aerodynamic uncertainties. However, the major challenge related to stability/robustness assessment of adaptive systems is still being resolved based on testing the closed-loop system for all possible variations of uncertainties in Monte Carlo simulations, the cost of which increases with the growing complexity of the systems. This presentation will give an overview of the limitations inherent to the conventional adaptive controllers and will introduce a new thinking for adaptive control that leads to fast and robust adaptation with provable control specifications and guaranteed stability/robustness margins. Various applications will be discussed during the presentation to demonstrate the tools and the concepts.

Electronic downloads

Citation formats  
  • HTML
    Naira Hovakimyan. <a
    href="http://chess.eecs.berkeley.edu/pubs/376.html"
    ><i>The Theory of Fast and Robust
    Adaptation</i></a>, Talk or presentation,  13,
    November, 2007.
  • Plain text
    Naira Hovakimyan. "The Theory of Fast and Robust
    Adaptation". Talk or presentation,  13, November, 2007.
  • BibTeX
    @presentation{Hovakimyan07_TheoryOfFastRobustAdaptation,
        author = {Naira Hovakimyan},
        title = {The Theory of Fast and Robust Adaptation},
        day = {13},
        month = {November},
        year = {2007},
        abstract = {The history of adaptive control systems dates back
                  to early 50-s, when the aeronautical community was
                  struggling to advance aircraft speeds to higher
                  Mach numbers. In November of 1967, X-15 launched
                  on what was planned to be a routine research
                  flight to evaluate a boost guidance system, but it
                  went into a spin and eventually broke up at 65,000
                  feet, killing the pilot Michael Adams. It was
                  later found that the onboard adaptive control
                  system was to be blamed for this incident. Exactly
                  thirty years later, fueled by advances in the
                  theory of nonlinear control, Air Force
                  successfully flight tested the unmanned unstable
                  tailless X-36 aircraft with an onboard adaptive
                  flight control system. This was a landmark
                  achievement that dispelled some of the misgivings
                  that had arisen from the X-15 crash in 1967. Since
                  then, numerous flight tests of Joint Direct Attack
                  Munitions (JDAM) weapon retrofitted with adaptive
                  element have met with great success and have
                  proven the benefits of the adaptation in the
                  presence of component failures and aerodynamic
                  uncertainties. However, the major challenge
                  related to stability/robustness assessment of
                  adaptive systems is still being resolved based on
                  testing the closed-loop system for all possible
                  variations of uncertainties in Monte Carlo
                  simulations, the cost of which increases with the
                  growing complexity of the systems. This
                  presentation will give an overview of the
                  limitations inherent to the conventional adaptive
                  controllers and will introduce a new thinking for
                  adaptive control that leads to fast and robust
                  adaptation with provable control specifications
                  and guaranteed stability/robustness margins.
                  Various applications will be discussed during the
                  presentation to demonstrate the tools and the
                  concepts.},
        URL = {http://chess.eecs.berkeley.edu/pubs/376.html}
    }
    

Posted by Douglas Densmore on 13 Nov 2007.
Groups: chess
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