Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Finally, referring the intelligent control theory, the self-adjusting parameter PID control strategy based on the fuzzy logic rules is introduced.
结合智能控制理论，提出了基于模糊规则的适应式参数自调整PID控制策略。
A fuzzy logic based energy management strategy is used to optimize the operational efficiency of the engine, motor and batteries.
为了优化发动机、电机及电池的工作效率，给出了基于模糊逻辑的能量管理策略。
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