通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
设计了滑模控制器和PID控制器分别对节气门开度和点火时刻进行自适应调节。
Both sliding mode controller and PID controller are designed to realize adaptive regulation of throttle opening and ignition timing respectively.
针对控制增益为未知常数和未知函数两种情形，分别提出分散自适应滑模控制器设计新方案。
Considering two cases that the system has constant control gains or function control gams, two novel decentralized adaptive sliding mode control schemes are presented, respectively.
控制器由最优l QR、模糊控制器和滑模自适应调节器组成。
The controller was composed of optimum LQR, fuzzy controller and sliding mode adaptive regulator.
用自适应过程减小参数不确定性的影响，并通过动态滑模控制器的高鲁棒性抑制机器人模型中的未知非线性动力学及测量噪声等的影响。
The adaptive process extenuates the influence of parameter uncertainty, and the robustness of the dynamic sliding mode control inhibits the influence of unknown dynamics and measurement noise.
用自适应过程减小参数不确定性的影响，并通过动态滑模控制器的高鲁棒性抑制机器人模型中的未知非线性动力学及测量噪声等的影响。
The adaptive process extenuates the influence of parameter uncertainty, and the robustness of the dynamic sliding mode control inhibits the influence of unknown dynamics and measurement noise.
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