The composition of the simulation system, data processing flowchart and simulation mode that included the missile dynamics, sensitive element and variable structure controller were given.
给出了该仿真系统的组成、信号处理流程，以及包括弹体动力学、敏感元件和变结构控制器的仿真模型。
Based on the qualitative analysis to inverse dynamics of delay system, through modifying conventional fuzzy controller, a new control method which is fit for delay system is presented.
该文在延迟系统逆动力学过程定性分析的基础上，对传统模糊控制器加以改造，提出一种新的适合于迟延系统的控制方法。
A rigid controller for the unmeasured vibration states was designed and a compensatory method for the impact on position control caused by system dynamics was given.
针对振动状态的不可测量性，应用刚性控制规律设计了控制器，给出了一种补偿系统动力学对位置控制影响的方法。
This paper deals with researches on modeling and controller design for a class of hybrid systems which contain both continuous and discrete dynamics.
研究一类离散事件系统和连续时间系统相混合的混杂系统建模与控制器设计问题。
Inverse dynamics fuzzy rules model is the mathematical model about object movement disciplinarian which can be used for fuzzy controller design directly.
系统逆动力学模糊规则模型，是一类可以直接用于模糊控制器设计的关于对象运动规律的数学模型。
A synthesis method based on inverse dynamics and online parameter identification was developed and was directly used to design the attitude controller in the integrated control system.
提出了一种基于逆动力学和在线参数辨识的方法，用于直接设计综合控制系统中的姿态控制器。
Despite the nonlinear dynamics, it is shown that the controller constraint is another important factor of system nonlinearities, which can be compensated using some simple antiwindup techniques.
除了机组自身非线性动态外，本文指出控制器约束是系统非线性的另一重要因素，采用一些简单的抗回绕技术可以补偿这种非线性因素。
The controller consists of a linear PD feedback part, a nonlinear adaptive feedback part to compensate for the dynamics of robot and a robust control part to compensate for the uncertainties of model.
该控制器由三部分组成：线性PD反馈项，补偿动力学的自适应控制项，补偿建模不确定性的鲁棒控制项。
An adaptive PID controller Which utilizes a BP network is also devised in the force control loop. This network can identify the dynamics of the contacting environment.
在力控制环建立了基于BP网络的自适应pid控制器，该网络可辩识所接触环境的动力学特性。
Another nonlinear inversion controller was designed for the slow variables. It allows the pilot to control the slow dynamics, the Angle of attack, side-slip Angle and the velocity bank Angle.
对慢变量进行非线性逆控制器的设计可使飞行员控制飞机慢动力学，即迎角、侧滑角和速度矢量滚转角。
An FIR controller is designed directly to approximate the inverse plant dynamics defined by its im-pulse response in internal model control (IMC) system.
根据内模控制器是被控对象逆动态逼近的原理，由被控对象的脉冲响应来设计FIR型控制器。
The NLPID controller includes integral control which compensates for the unknown system dynamics.
NLPID控制器包括积分控制，对未知的系统动力学补偿。
Therefore, the controller designed based on mathematical models may be subject to impaction of unmodeled dynamics and robustness in practical applications, they are inevitable problem in nature.
因此基于数学模型设计的控制器，在实际应用中就可能受未建模动态和鲁棒性的影响，它们是所有的基于模型的控制理论和技术不可避免的本质问题。
A multirate composite neural controller is presented in this paper for the trajectory tracking control of a flexible-link robot with a partially known nonlinear dynamics.
提出了一种用于动力学都分已知柔性连杆机器人的多速率神经网络自适应混合控制墨。
First, according to the tracking error dynamics and kinematics described by unit quaternion error and angular velocity error, a sliding mode controller is derived based on Lyapunov theory.
首先根据由误差四元数和误差角速度描述的跟踪误差动力学和运动学方程，设计了基于李亚普诺夫方法的滑模变结构控制律。
An 8-dof vehicle dynamics model was established and a fuzzy PI controller and a control strategy of a vehicle stability control system were developed.
首先建立了八自由度的汽车动力学模型，设计了模糊pi控制器和汽车稳定性控制策略。
This paper analyzed the kinematics and dynamics of the 6 DOF platform, and adopted CMAC Neural Networks as controller to realize tailing track.
以六自由度运动平台为研究对象，分析了平台的运动学和动力学问题，采用了CMAC神经网络作为控制器，实现运动轨迹的跟踪。
Because the parallel robot is hard to real-time control in terms of the complication of its dynamics, controller without considering parallel robot's dynamics is studied firstly.
鉴于并联机器人的动力学计算复杂，不利于实时控制等特性，本文首先在不考虑并联机器人动力学的情况下，研究了并联机器人的控制器设计。
Moreover the path is feasible given plant dynamics and it is not demanding for the controller to track since it consists of combinations of straight lines and arcs of circles of constant radii.
生成的路径满足控制对象的要求，由于路径仅由直线段和恒定半径的圆弧组成，因此对控制器的要求不高。
After that, many control algorithms are studied based on dynamics analysis and model foundation, then the intelligent fuzzy sliding mode controller is proposed and designed.
接着，在对并联机构进行动力学分析和建模的基础上，研究了多种控制算法，最终提出并设计了智能模糊滑模控制器。
Based on fuzzy logic approximation principle, a new fuzzy decentralized controller is designed for a class of nonlinear interconnected systems with unknown dynamics.
基于模糊逻辑的近似原则，一种新的模糊分散控制器的设计一类非线性互联系统的未知因素。
Based on fuzzy logic approximation principle, a new fuzzy decentralized controller is designed for a class of nonlinear interconnected systems with unknown dynamics.
基于模糊逻辑的近似原则，一种新的模糊分散控制器的设计一类非线性互联系统的未知因素。
应用推荐