Review Control(审查控制)研究综述
Review Control 审查控制 - The analysis data is fed to a novel fuzzy preview controller which would anticipate the condition of the finger as ill-conditioned which will settle the final position of the finger. [1] This paper presents a control technique for reverse parking car-like vehicles based on deep reinforcement learning and preview control. [2] Using published data sets, we review controls on Mg/Ca in laboratory cultures of planktonic foraminifera Globigerinoides ruber (white), Trilobatus sacculifer, Globigerina bulloides, and Orbulina universa. [3] To design distributed optimal preview controllers, restricted system equivalent (r. [4] The active suspension is controlled by a linear quadratic regulator (LQR) in combination with road preview control, while the semi-active suspension is controlled by a clipped-optimal LQR approach. [5] This paper presents an active roll preview control with vehicle-to-vehicle (V2V) communication. [6] This paper purposes a new method of designing a preview controller for speed control of the DC motor system based on evolutionary algorithm. [7] In this paper, the optimal preview tracking control problem for a class of linear discrete-time periodic systems is investigated and the method to design the optimal preview controller for such systems is given. [8] This paper presents a neuro-fuzzy controller based on preview control and deep reinforcement learning for reverse parking truck-trailer vehicles. [9] This paper presents observer-based active roll preview control with V2V communication. [10] This paper is concerned with the design of the preview controller for a class of fault systems. [11] In this paper, a fault-tolerant preview controller is designed for a class of impulse controllable continuous time descriptor systems with sensor faults. [12] Based on this, a preview controller for the original system is proposed. [13] This paper reports dynamic wind tunnel test results of gust alleviation using preview control. [14] A novel fuzzy preview controller is proposed which uses the concept of fuzzy logic controllers which will define the controller for the plant. [15] The CoM trajectory is calculated using preview control based on the dynamics model and current state of the robot. [16] We design and implement a closed loop control strategy (preview control), that minimizes the tracking error and rejects disturbances generated by uncertainties and unmodeled dynamics. [17] The CoM trajectory is re-planned in each control cycle with a short cycle preview controller. [18] While an LMI synthesis condition for preview control has yielded both feedback gain and preview feedforward compensation simultaneously in previous research, the proposed approach can derive feedforward compensation when a state/output feedback controller has already been designed in some standard way. [19] This paper deals with a gust alleviation (GA) control system using gain-scheduled (GS) discrete-time preview control. [20] Based on this improved model, the preview control as control strategy for water pipe temperature was proposed, and its robustness and stability were discussed. [21] The proposed control method exhibits smaller lateral errors than either the single-point preview control or the fixed-weight multi-point preview approaches. [22]分析数据被馈送到一个新颖的模糊预览控制器，该控制器将预测手指的状态为病态，从而确定手指的最终位置。 [1] 本文提出了一种基于深度强化学习和预览控制的反向停车类车辆控制技术。 [2] 使用已发布的数据集，我们回顾了浮游有孔虫 Globigerinoides ruber（白色）、Trilobatus sacculifer、Globigerinabuloides 和 Orbulina universa 实验室培养物中 Mg/Ca 的控制。 [3] 为了设计分布式最优预览控制器，受限系统等效（r. [4] 主动悬架由线性二次调节器 (LQR) 与道路预览控制相结合来控制，而半主动悬架由剪裁最优 LQR 方法控制。 [5] 本文提出了一种具有车对车 (V2V) 通信的主动滚动预览控制。 [6] 本文旨在设计一种基于进化算法的直流电机系统速度控制的预览控制器的新方法。 [7] 本文研究了一类线性离散时间周期系统的最优预测跟踪控制问题，并给出了该系统最优预测控制器的设计方法。 [8] 本文提出了一种基于预览控制和深度强化学习的反向停车卡车-拖车车辆的神经模糊控制器。 [9] 本文介绍了基于观察者的基于 V2V 通信的主动滚动预览控制。 [10] 本文研究了一类故障系统的预演控制器的设计。 [11] 本文针对一类具有传感器故障的脉冲可控连续时间描述符系统设计了一种容错预演控制器。 [12] 在此基础上，提出了原系统的预览控制器。 [13] 本文报告了使用预览控制缓解阵风的动态风洞试验结果。 [14] 提出了一种新颖的模糊预览控制器，它使用模糊逻辑控制器的概念来定义工厂的控制器。 [15] CoM 轨迹是根据机器人的动力学模型和当前状态使用预览控制计算的。 [16] 我们设计并实施了一种闭环控制策略（预览控制），可最大限度地减少跟踪误差并拒绝由不确定性和未建模动力学产生的干扰。 [17] 使用短周期预览控制器在每个控制周期中重新规划 CoM 轨迹。 [18] 虽然在先前的研究中，用于预览控制的 LMI 合成条件同时产生了反馈增益和预览前馈补偿，但当已经以某种标准方式设计了状态/输出反馈控制器时，所提出的方法可以推导出前馈补偿。 [19] 本文讨论了一种使用增益调度 (GS) 离散时间预览控制的阵风缓解 (GA) 控制系统。 [20] 在此改进模型的基础上，提出了作为水管温度控制策略的预览控制，并讨论了其鲁棒性和稳定性。 [21] 所提出的控制方法表现出比单点预览控制或固定权重多点预览方法更小的横向误差。 [22]
augmented error system 增广误差系统
An augmented error system is constructed for the transformed ordinary linear system, the appropriate performance index function is introduced and relevant results of the optimal preview control are applied to design the optimal preview controller for the augmented error system when the reference signal is previewable. [1] In this paper, the problem of preview control for continuous-time singular stochastic systems is studied by the augmented error system approach. [2] ABSTRACT In this paper, the preview control problem for a class of linear continuous time stochastic systems with multiplicative noise is studied based on the augmented error system method. [3]对变换后的普通线性系统构建了增广误差系统，引入了适当的性能指标函数，并应用最优预控制的相关结果，设计了参考信号可预视时增广误差系统的最优预控制控制器。 [1] 本文采用增广误差系统方法研究了连续时间奇异随机系统的预测控制问题。 [2] 摘要 本文基于增广误差系统方法研究了一类具有乘性噪声的线性连续时间随机系统的预视控制问题。 [3]
review control problem 审查控制问题
The proposed methodology of designing this controller is based on the application of theH∞ optimal control techniques to a discrete-time preview control problem. [1] ABSTRACT In this paper, the preview control problem for a class of linear continuous time stochastic systems with multiplicative noise is studied based on the augmented error system method. [2] This paper considers the preview control problem for switched systems for tracking a previewable reference input. [3]提出的设计该控制器的方法是基于将 H∞ 最优控制技术应用于离散时间预览控制问题。 [1] 摘要 本文基于增广误差系统方法研究了一类具有乘性噪声的线性连续时间随机系统的预视控制问题。 [2] 本文考虑了用于跟踪可预览参考输入的切换系统的预览控制问题。 [3]
review control strategy 审查控制策略
An active preview control strategy is presented to suppress the vibration of hydrostatic guideway under dynamic machining force. [1] An active preview control strategy is presented to suppress the vibration of hydrostatic guideway under dynamic machining force. [2]提出了一种主动预览控制策略来抑制动态加工力作用下静压导轨的振动。 [1] 提出了一种主动预览控制策略来抑制动态加工力作用下静压导轨的振动。 [2]
review control theory 复习控制理论
In this paper we propose a novel hybrid walking pattern generator which combines results from the virtual constraints and the preview control theories for bipedal locomotion. [1] Based on preview control theory and the predictor method, a predictor-preview controller was derived to realize delay compensation and interference preview compensation. [2]在本文中，我们提出了一种新颖的混合步行模式生成器，它结合了虚拟约束的结果和双足运动的预览控制理论。 [1] 基于预览控制理论和预测器方法，推导了预测器-预览控制器实现延迟补偿和干扰预览补偿。 [2]