Autonomous control of complex systems: robotic applications

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@Article{Jamshidi:2001:AMC,
  author =       "Mohammad Jamshidi",
  title =        "Autonomous control of complex systems: robotic
                 applications",
  journal =      "Applied Mathematics and Computation",
  volume =       "120",
  pages =        "15--29",
  year =         "2001",
  number =       "1-3",
  month =        "10 " # may,
  keywords =     "genetic algorithms, genetic programming, Autonomy,
                 Control systems, Complex systems, Robotics, Behavior
                 control",
  URL =          "http://www.sciencedirect.com/science/article/B6TY8-42RVSF8-3/1/d9087f02589b85a2c6ef556307f7c0a8",
  DOI =          "doi:10.1016/S0096-3003(99)00285-4",
  size =         "15 pages",
  abstract =     "One of the biggest challenges of any control paradigm
                 is being able to handle large complex systems under
                 unforeseen uncertainties. A system may be called
                 complex here if its dimension (order) is too high and
                 its model (if available) is nonlinear, interconnected,
                 and information on the system is uncertain such that
                 classical techniques cannot easily handle the problem.
                 Soft computing, a collection of fuzzy logic,
                 neuro-computing, genetic algorithms and genetic
                 programming, has proven to be a powerful tool for
                 adding autonomy to many complex systems. For such
                 systems the size soft computing control architecture
                 will be nearly infinite. Examples of complex systems
                 are power networks, national air traffic control
                 system, an integrated manufacturing plant, etc. In this
                 paper a new rule base reduction approach is suggested
                 to manage large inference engines. Notions of rule
                 hierarchy and sensor data fusion are introduced and
                 combined to achieve desirable goals. New paradigms
                 using soft computing approaches are used to design
                 autonomous controllers for a number of robotic
                 applications at the ACE Center are also presented
                 briefly.",
}

Genetic Programming entries for Mohammad Jamshidi

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