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

• Berkeley_2007.ppt · application/vnd.ms-powerpoint · 14139 kbytes

• 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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