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。
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.
针对一类典型的奇异摄动动力学系统提出了双回路变结构控制器的设计方法。
The paper proposes an approach to design a dual-loop variable structure controller for a particular class of singularly perturbed dynamic systems.
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。
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.
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。
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.
本文从理论上分析了基于车辆二自由度转向动力学模型的转向控制器在低速时产生失稳的原因。
This paper analyses the reason for the loss of stabilization for vehicle steering controller at low speed based on two degree freedom dynamic.
由于可重构机械臂的动力学系统中存在大量的不确定性，导致PID等传统的控制器无法实现精确的位置控制。
There are many uncertainties in real dynamic system of reconfigurable manipulator that make PID type or traditional control methods unable to realize accurate position control.
研究了非完整移动机器人动力学模型中带有参数不确定和控制受限的鲁棒轨迹跟踪控制器的设计问题。
Designing of robust trajectory tracking controller for mobile robots with parametric uncertainties in the dynamic model and with bounded input is investigated.
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。
Inverse dynamics fuzzy rules model is the mathematical model about object movement disciplinarian which can be used for fuzzy controller design directly.
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。
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.
该方法运用特征系统实现算法辨识得到系统的动力学参数，然后利用辨识得到的参数设计最优控制器，抑制结构的振动。
An inorbit identification vibration control method for flexible space structures was developed in which the dynamics parameters are identified using the eigensystem realization algorithm (ERA) method.
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。
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.
提出了一种含糊控制器很风趣的跟踪特点和也会产生反响差别动力学条件。
The fuzzy controller presented very interesting tracking features and was able to respond to different dynamic conditions.
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。
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.
本文主要针对非完整移动机器人进行运动学和动力学建模、分析与轨迹跟踪控制器设计的研究。
Analysis, kinematic and dynamical modeling and trajectory tracking controller designing for a mobile robot are studied in this thesis.
建立了汽车电动助力转向和半主动悬架集成控制的动力学模型，运用自校正控制理论设计了集成控制器。
A model of the integrated dynamic control system of electric power steering (EPS) and semi-active suspension system (SASS) is set up.
NLPID控制器包括积分控制，对未知的系统动力学补偿。
The NLPID controller includes integral control which compensates for the unknown system dynamics.
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。
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.
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。
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.
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。
This paper analyzed the kinematics and dynamics of the 6 DOF platform, and adopted CMAC Neural Networks as controller to realize tailing track.
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.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
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。
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.
首先，分析一类两轮移动机器人的运动学模型和动力学模型，针对其轨迹跟踪控制问题，设计滑模控制器。
Firstly, a kind of kinematics model of two-wheel driven mobile robot is analyzed. Aimed at its trajectory tracking control problem, the sliding-mode controller is designed.
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。
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。
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.
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