IEEE Spectrum · 1995 · 92 citations · 11 references
ComputingAutonomous SystemsComputer ScienceArtificial IntelligenceCyber-physical SystemsRoboticsControl Of Dynamical SystemsControl SystemsControl TheoryControl AlgorithmsIntelligent Control
Intelligent control is the discipline in which control algorithms are developed by emulating certain characteristics of intelligent biological systems. It is quickly emerging as a technology that may open avenues for significant advances in many areas. In fact, fueled by advancements in computing technology, it has already achieved some very exciting and promising results. Here, the author argues that a mixture of intelligent and conventional control methods may be the best way to implement autonomous control systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
Karl Johan Åström, John J. Anton, Karl-Erik Årzén · Automatica · 1986 · 532 citations · Full text
Magnetic bearing control systems and adaptive forced balancing
Bahram Shafai, S. Beale, P. LaRocca et al. · IEEE Control Systems · 1994 · 165 citations