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Titlebook: Methods and Applications of Intelligent Control; Spyros G. Tzafestas Book 1997 Springer Science+Business Media Dordrecht 1997 Fuzzy.Sensor

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Intelligent Control for a Robotic Acrobat application of nonlinear control (see Figure 1). In this chapter we apply intelligent control [., .] to two challenging robotics control problems associated with the acrobot: swing-up and balancing. To date there seems to be no uniform theory for the control of underactuated robots such as the acro
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Fuzzy Evolutionary Algorithms and Automatic Robot Trajectory Generationheory and simulation. As a class of adaptive search techniques, GAs are useful for global function optimization and may be a key element in learning systems [De Jong, 1988], [.]. Some simulation investigations on genetic algorithm application in robotic systems have been made [.], and as components
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Intelligent Control and Supervision Based on Fuzzy Petri NetsThe field of Artificial Intelligence (AI) now embodies a broad range of tools and techniques that permit the representation and manipulation of knowledge. With the advancement of both computer hardware and software, AI will continue to have a profound effect in area such as process control.
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978-94-010-6314-2Springer Science+Business Media Dordrecht 1997
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Methods and Applications of Intelligent Control978-94-011-5498-7Series ISSN 2213-8986 Series E-ISSN 2213-8994
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