A new adaptive control algorithm is proposed in this paper to compensate nonlinear terms in the dynamic equation of robot and decouple the dynamic interaction among the joints.
本文提出一种新的自适应控制算法，用于补偿机器人动力学方程中的非线性项和消除关节间的耦合。
An adaptive control algorithm is given to adjust fuzzy rules to adapt system change.
同时还给出了一种自适应控制算法，利用它可以调整模糊规则以适应系统的时变性。
The author proposed a hyperstable adaptive control algorithm for complicated nonlinear systems.
提出了一种用于控制复杂非线性系统的超稳定自适应控制算法。
In this paper, a stochastic adaptive control algorithm for linear time-invariant CARMA system is presented.
作者对线性时不变CARMA系统提出了一种随机自适应控制算法。
In this paper, a generalized predictive adaptive control algorithm based on multi-step regressive predication is presented.
提出了一种基于多步递推预测的广义预测自适应控制算法。
The SISO indirect stochastic adaptive control algorithm presented in this paper is suitable to control systems with large delay.
本文提出的单变量随机间接自适应控制算法适于控制大滞后的系统。
This paper discusses the design of model reference adaptive control systems based on the direct output error adaptive control algorithm.
本文利用输出误差直接自适应控制算法对一具体对象的模型参考自适应控制器进行设计。
Taking aim at a class of uncertain nonlinear systems, a sliding mode adaptive control algorithm based on Lyapunov's stability theory was proposed.
针对一类不确定非线性系统，基于李亚普诺夫稳定性理论提出了滑模自适应算法。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
This paper presents an adaptive control algorithm for discrete time linear systems with asymmetric saturation nonlinearity. This algorithm can easily be realized.
本文提出了带有不对称饱和非线性环节的线性离散系统的自适应控制算法，该算法简单易行。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
针对非线性系统，在PRAM计算模型上，探讨基于模糊内模自适应控制算法的并行处理。
A new unity pattern of the adaptive control algorithm is introduced with the standpoint of the duality between adaptive control algorithm and parameter estimation.
从自适应控制算法与参数估计算法的对偶性出发，提出了自适应控制算法的一种统一格式。
A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
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