DIRECTORATE FOR ELECTRICAL AND COMMUNICATIONS SYSTEMS (ECS)
Knowledge Modeling and Computational Intelligence
Supports creative research and education activities in analytical,
knowledge-based, and computational methods for modeling, simulation,
optimization, and control of engineering systems. Emphasis is on
development of basic methodologies, tools, and designs that are
motivated by a wide variety of fundamental systems issues, including
nonlinearity, scaleability, complexity, and uncertainty. The program
supports leading-edge research on learning and intelligent systems,
knowledge networking, neural networks, nonlinear and hybrid control, and
advanced computational methods in distributed problem-solving and
decision-making environments. These directions impact important industry
sectors such as manufacturing and production systems, electronics,
electric power, and transportation. Rapid technological advances and
paradigm shifts in many systems areas (e.g., those occurring in modern
interconnected power networks, with environmental concerns and
deregulation in their technical, social, and economic manifestations)
are creating operational complexities that require innovative research
ideas to expand the envelope of understanding.
Target Date: February 1 and October 1 (annually)
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