Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
By using a concept of adaptive expected output and modern control theory, a dynamic adaptive Cournot model, which the inverse demand curve function is nonlinear in the market, is established.
本文通过引入自适应期望产量的概念，利用现代控制工程理论建立了市场非线性反需求函数下的自适应动态古诺模型。
It is crucial to establish the inverse dynamic process model of thermal system on research and application of the inverse dynamic process of thermal system.
建立热力系统逆动力学过程模型是热力系统逆动力学研究及应用的关键。
Based on 12-state nonlinear aircraft dynamic model, a nonlinear flight control law is designed by using nonlinear inverse dynamics and modern optimal control theory.
针对12维非线性飞机动力学模型，利用非线性逆系统理论和现代最优控制理论设计了一组非线性飞行控制规律。
Simulation results show that the presented method can accurately construct the inverse dynamic model of the continuous nonlinear system even without prior knowledge about the controlled plant.
仿真结果表明，在没有被控对象先验知识的情况下，利用该方法能准确地建立连续非线性系统的逆模型。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
The model can be used to establish a base for dynamic error inverse-filtering calibration.
经检验该方法可以达到理想的辨识效果，从而为系统反滤波动态误差修正奠定了基础。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
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