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。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
The inverse dynamic method of manipulator and the Linear Quadrics (LQ) optimum control method are employed to investigate the problems of trajectory tracking and eliminating the remaining vibration.
利用机械臂逆动力学方法和线性二次型（LQ）最优控制方法讨论刚柔性耦合机械臂的轨迹跟踪控制问题和消除残余振动的控制问题。
In this paper, it is discussed how to design an online error compensator for a fight control system by the method of nonlinear dynamic inverse.
本文讨论了一种具有在线误差补偿的非线性动态逆控制器设计方案。
Firstly, the whole control system can exhibit satisfactory dynamic result only by perfect matching the controller and composite pseudo linear system in the generalized inverse control.
首先，在广义逆系统控制中，控制器必须与复合伪线性系统的传递函数相互配合才能使整个控制系统达到满意的动态控制效果。
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。
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。
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。
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