Design of Hybrid Adaptive and Learning Control Systems under Complex Environment via Nonlinear H-Infinity Control Scheme

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This research project constructed design schemes of hybrid adaptive and learning control systems which contain high adaptation abilities under complicated environments, by extending several methodologies in control theory such as adaptive control, nonlinear control and robust control, and by applying several tools in intelligent control such as neural networks, fuzzy control, genetic algorithms and enhance learning. By doing so, the research created new fields in information science and engineering, and developed consistent and theoretical methodologies in system and control science.