The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
An adaptive fuzzy integral type sliding mode control method based on GA was proposed to control single-axis motion control system with nonlinear dynamic friction.
提出一种基于GA的自适应模糊积分型滑模控制策略，并将其用于具有非线性动态摩擦力的单轴运动控制系统中。
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