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The major purpose of this symposium is to extend and endorse particular concepts that will generate novel research and codify resilience in next generation control system designs. Engineering systems are increasingly subjected to disturbances which are not generally predictable at design time. These disturbances can be man-made or naturally occurring, and they can be physical or cyber in nature. A multi-disciplinary approach for designing controls for these systems is envisioned that provides the intrinsic state awareness and intelligence that give the overall system an increased level of resilience.
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Topical Areas (including, but not limited to) Human Machine Interaction: cognitive modeling, machine learning, digital human modeling Human Systems Design: environmental configuration, tailored presentation Control Theory: intelligent, reconfigurable, optimal Control Framework: supervisory, multi-agent, distributed intelligence Sensor Architectures: embedded modeling and analysis, intelligence and agents, wireless control and determinism, multi-parameter integration and diversity Monitoring/Control Security: decoys, randomization, diversity, training and cognition, decision making, measurement Cyber Architecture: health indicators, defense optimization Data Fusion: data reduction, security characterization, data diversity, anomaly detection, response prioritization Computational Intelligence: machine learning, neural networks, fuzzy logic, evolutionary computation, Bayesian belief networks Cyber-physical power and energy systems: real-time communication, protection, control, resilience, reliability, sustainability, efficiency Robotic systems: Failure/error tolerance and recovery, adaptable/flexible architectures, multi-level/agent systems, multi-sensor fusion, tele-presence, probabilistic behaviors, performance validation/verification, communications security
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重要日期
  • 会议日期

    08月19日

    2014

    08月21日

    2014

  • 08月21日 2014

    注册截止日期

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