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2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)最新文献

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Memristor-based neural network PID controller for buck converter 基于忆阻器的buck变换器神经网络PID控制
Song Zhu, Lidan Wang, Shukai Duan
This paper applied spintronic memristors on the neural network PID controller to control the nonlinear and time-varying buck converter. The proposed method used spintronic memristor as electronic synapses to store the updated value, which can greatly simplify the implementation of hardware circuit and the weights updating algorithm. Meanwhile three-layers memristor-based BP neural network was designed and the algorithm of the PID control under this mechanism was also analyzed. Furthermore, computer simulation of buck converter working in continuous mode with the proposed controller presented superior performance in the aspects of follow-up, immunity and robustness, as well as fast response and small overshoot.
本文将自旋电子忆阻器应用于神经网络PID控制器,实现对非线性时变降压变换器的控制。该方法采用自旋电子忆阻器作为电子突触存储更新值,大大简化了硬件电路的实现和权值更新算法。同时设计了基于三层忆阻器的BP神经网络,并分析了该机制下的PID控制算法。利用该控制器对工作在连续模式下的降压变换器进行了计算机仿真,结果表明该控制器具有跟踪性、抗扰性、鲁棒性、响应速度快、超调量小等优点。
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引用次数: 5
A new signal recovery method based on optimal uncertainty quantification in compressed sensing 基于最优不确定性量化的压缩感知信号恢复新方法
Ming Li, Chenglin Wen
The existing signal recovery methods in compressed sensing (CS) viewed roughly noises or perturbations with statistical information as bounded constraints, which results in relatively poor recovery accuracy. This paper proposes a new signal recovery method based on optimal uncertainty quantification (OUQ) framework, which uses the statistical information of noises or perturbations. Firstly, we describe conventional CS problem using OUQ framework and form an equivalent finite-dimensional optimization problem. Then the solve approach of the finite-dimensional optimization problem is proposed. What is more, the partition method for high-dimensional signals is also proposed to solve the challenge that high-dimensional signals can not be solved effectively using OUQ framework. Finally, the simulation results are further presented to verify the effectiveness of the new signal recovery method.
现有的压缩感知(CS)信号恢复方法将噪声或带有统计信息的扰动粗略地视为有界约束,导致恢复精度相对较差。本文提出了一种新的基于最优不确定性量化(OUQ)框架的信号恢复方法,该方法利用了噪声或扰动的统计信息。首先,我们用OUQ框架描述传统的CS问题,形成一个等价的有限维优化问题。然后提出了有限维优化问题的求解方法。此外,还提出了高维信号的划分方法,解决了OUQ框架无法有效求解高维信号的难题。最后给出了仿真结果,验证了新信号恢复方法的有效性。
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引用次数: 1
Ship's track keeping based on variable structure active-disturbance rejection control 基于变结构自抗扰控制的船舶航迹保持
Jun Ning, Jian Sun, Tie-shan Li, Wenming Qiao
In this paper, variable structure control is combined with nonlinear Active-Disturbance Rejection Control (ADRC) for ship's track keeping control under the influence of internal dynamic uncertainties and external disturbances. In this way the needed setting parameters are greatly reduced with no change of the intrinsic controller's advantages. Meanwhile through the design of dimension reduction equation, ship's track keeping control can regarded as a desired head following control. Simulation results show that the new controller is robust against the systemic variations and external disturbances, and owns preferable control effect, which can realize the accurate track keeping.
本文将变结构控制与非线性自抗扰控制(ADRC)相结合,用于船舶在内部动态不确定性和外部扰动影响下的航迹保持控制。这样在不改变固有控制器优点的情况下,大大减少了所需的整定参数。同时通过降维方程的设计,将船舶的航迹保持控制看作是一种理想的船首跟随控制。仿真结果表明,该控制器对系统变化和外界干扰具有较强的鲁棒性,具有较好的控制效果,能够实现精确的跟踪保持。
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引用次数: 3
Performance analysis of different kriging interpolation methods based on air quality index in Wuhan 基于武汉市空气质量指数的不同克里格插值方法性能分析
Yan Tong, Yanc Yu, Xingbang Hu, Li He
To explore the influence on interpolation results in different models of ordinary kriging interpolation methods and to validate their feasibility in practice, the interpolation experimental study using Spherical, Exponential and Gaussian models were carried out in this paper, based on the monthly average Air Quality Index data of 10 air quality sites in Wuhan, China. The interpolation results were qualitatively analyzed and quantitatively evaluated by the actual render effect and cross-validation method. The experimental results demonstrate that: (1) for the same data, the visual render effect in different models are almost the same in the whole, but the interpolation accuracies are different; (2) the Mean Standardized error and Root-Mean-Square error of the Spherical model are the largest; (3) the Mean error of the Exponential model is minimal, the Root-Mean-Square error is nearest to Average Standard Error, and its Root-Mean-Square Standardized error is closest to 1; (4) the Mean error of the Gaussian model is the largest, but both Mean Standardized error and Root-Mean-Square error are minimal, the Root-Mean-Square error is farthest away from Average Standard error, and also its Root-Mean-Square Standardized error is farthest away from the value 1.
为探讨普通克里格插值方法不同模型对插值结果的影响,验证其在实践中的可行性,本文以武汉市10个空气质量监测点的月平均空气质量指数数据为基础,分别采用球面模型、指数模型和高斯模型进行了插值实验研究。采用实际渲染效果和交叉验证法对插值结果进行定性分析和定量评价。实验结果表明:(1)对于同一数据,不同模型的视觉渲染效果总体上基本一致,但插值精度不同;(2)球面模型的平均标准化误差和均方根误差最大;(3)指数模型的平均误差最小,均方根误差最接近平均标准误差,均方根标准误差最接近1;(4)高斯模型的均值误差最大,但均值标准化误差和均方根误差都最小,均方根误差离平均标准误差最远,均方根标准化误差离1最远。
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引用次数: 4
Stability control of 4WD electric vehicle with in-wheel-motors based on sliding mode control 基于滑模控制的四轮驱动轮内电机电动汽车稳定性控制
Chuanxue Song, F. Xiao, Shixin Song, Shaokun Li, Jianhua Li
Direct yaw moment control can maintain the vehicle stability in critical situation. For four-wheel independently driven (4WD) electric vehicle with in-wheel motors (IWMs), direct yaw moment control (DYC) can be easily achieved. A fairly accurate calculation of the required yaw moment can improve vehicle stability. A novel sliding mode control (SMC) technique is employed for the motion control so as to track the desired vehicle motion, which is it for different working circumstances compared to the well-used traditional DYC. Through the weighted least square algorithm, the lower controller is used to determine the torque properly allocated to each wheel according to the desired yaw moment. Several actuator constraints are considered in the control strategy. In addition, a nonlinear tire model is utilized to improve the accuracy of tire lateral force estimation. Then, simulations are carried out and the values of vehicle states are compared. The simulation results show that the control system proposed can effectively improve the handling stability of the vehicle.
直接偏航力矩控制可以在危急情况下保持车辆的稳定性。对于四轮独立驱动(4WD)电动汽车,采用轮内电机(IWMs),可以轻松实现直接偏航力矩控制(DYC)。相当准确地计算所需的偏航力矩可以提高车辆的稳定性。运动控制采用了一种新颖的滑模控制(SMC)技术,以跟踪期望的车辆运动,与传统的DYC相比,它适用于不同的工作环境。下控制器通过加权最小二乘算法,根据期望的偏航力矩确定分配给各车轮的转矩。在控制策略中考虑了多个执行器约束。此外,利用非线性轮胎模型提高了轮胎侧向力估计的精度。然后进行仿真,比较车辆状态值。仿真结果表明,所提出的控制系统能有效地提高车辆的操纵稳定性。
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引用次数: 10
Reinforcement learning based overtaking decision-making for highway autonomous driving 基于强化学习的高速公路自动驾驶超车决策
Xin Li, Xin Xu, L. Zuo
In this paper, we develop an intelligent overtaking decision-making method for highway autonomous driving. The key idea is to use reinforcement learning algorithms to learn an optimized policy via a series of simulated driving scenarios. A vehicle model based on data fitting of real vehicles as well as a traffic model is established to simulate driving scenarios and validation tests of obtained policies. Human driving experiences are considered in designing the reward function. A reinforcement learning method called the Q-learning algorithm is used to learn overtaking decision-making policies. Simulations show that our method can learn feasible overtaking policies in different traffic environments and the performance is comparable or even better than manually designed decision rules.
本文研究了一种高速公路自动驾驶智能超车决策方法。关键思想是使用强化学习算法,通过一系列模拟驾驶场景来学习优化策略。建立了基于真实车辆数据拟合的车辆模型和交通模型,模拟驾驶场景并对得到的策略进行验证测试。在设计奖励函数时考虑了人的驾驶经验。采用强化学习方法Q-learning算法学习超车决策策略。仿真结果表明,该方法可以学习到不同交通环境下可行的超车策略,性能与人工设计的决策规则相当甚至更好。
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引用次数: 45
Remote sensing images coastline detection based on geometric active contour models 基于几何活动轮廓模型的遥感影像海岸线检测
Jianchao Fan, Jialan Chu, D. Jiang, Fanglei Liu, W. Yao
Monitoring coastline change is a significant task of coastal zone management and evolution research, and it is an important symbol for the study of the regional change of reclamation area. Remote sensing technology becomes an important approach of monitoring changes in the coastline by virtue of its high efficiency, wide range and low cost. Taking the Beidaihe coast as an example, the coastline extraction of SAR and Landsat TM images is extracted based on the geometrical active contour model. This method through setting the initial contour, regards the movement of contour curve as synthesize of force, and minimizes the energy function. It makes the initial contour approximate to the real object boundary. The result shows that the method can effectively extract the continuous and complete coastline from different kinds of remote sensing images.
海岸线变化监测是海岸带管理与演变研究的重要任务,是研究填海面积区域变化的重要标志。遥感技术以其高效、范围广、成本低等优点,成为监测海岸线变化的重要手段。以北戴河海岸为例,基于几何活动等高线模型对SAR和Landsat TM影像进行海岸线提取。该方法通过设定初始轮廓,将轮廓曲线的运动视为力的综合,使能量函数最小化。它使初始轮廓近似于真实物体的边界。结果表明,该方法可以有效地从不同类型的遥感影像中提取连续完整的海岸线。
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引用次数: 4
Synthesis of robust PID controllers via stability methods for a wastewater treatment 基于稳定性方法的鲁棒PID控制器在废水处理中的合成
Xinghong Qiao, Fei Luo, Yuge Xu
This paper proposes a novel method to synthesize robust PID (proportional integral derivative) controller via Kharitonov's theorem and genetic algorithm for wastewater treatment. The H∞ specifications and Kharitonov's theorem result to solve a non-convex optimal problem subjected to several inequality constraints. The genetic algorithm is used to search the robust PID controller parameters wihout solving the steady-state Riccati equations. The novel robust PID is applicated for simplified Activated Sludge Model No.1 (ASM1) to keep the concentration of the biomass proportional to the influent flow rate with model uncertainties. Simulation shows that the algorithm is simple and effective for uncertain wastewater treatment.
提出了一种利用Kharitonov定理和遗传算法合成鲁棒PID(比例积分导数)控制器的新方法。利用H∞规范和Kharitonov定理解决了一个受若干不等式约束的非凸最优问题。采用遗传算法在不求解稳态Riccati方程的情况下搜索鲁棒PID控制器参数。将新型鲁棒PID应用于简化的活性污泥模型1 (ASM1),在模型不确定的情况下保持生物质浓度与进水流速成正比。仿真结果表明,该算法对不确定污水处理简单有效。
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引用次数: 1
The study on firing advance angle and start-up opportunity of the initiative acoustic homing equipment of dual-speed acoustic homing torpedo 双速声自导鱼雷主动声自导装置发射推进角及启动时机研究
Hongcan Hu, Ming Zhou
The firing advance angle and start-up opportunity of initiative acoustic homing equipment of dual-speed torpedo are the important launching parameters, in this paper, the anti-submarine characteristic of dual-speed acoustic homing torpedo in target searching section is analyzed firstly, a conception of advance angle range and the principle of start-up opportunity of acoustic homing equipment are presented according to speed changing in straight-running segment, then the calculation model is structured based on the course stay the same before and after the torpedo speed changing, Finally the mathematical model is emulated using the iterative method and the result show that the model is reasonable and convenient.
双速鱼雷主动声自导的发射提前角和启动机会是重要的发射参数,本文首先分析了双速声自导鱼雷在目标搜索段的反潜特性,根据直线航行段的航速变化,提出了声自导的发射提前角范围概念和启动机会原理;然后在鱼雷变速前后保持航向不变的基础上建立了计算模型,最后用迭代法对数学模型进行了仿真,结果表明该模型是合理、方便的。
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引用次数: 0
The design of the valve controller on stratospheric airship based on wireless sensor network 基于无线传感器网络的平流层飞艇阀门控制器设计
Run Su, Dongyong Jin, Wei Wu, Zhen-Wei Hao
The valve controller design based on wireless sensor network was presented to stratospheric environment. This thesis introduced the system components and the internal structure of the valve controller, and explained the design of software, hardware and environmental control. The program has the advantages to save weight and install easily, provided a design method for the valve control of stratospheric airship.
针对平流层环境,提出了一种基于无线传感器网络的阀门控制器设计方法。本文介绍了阀门控制器的系统组成和内部结构,并对软件、硬件和环境控制的设计进行了说明。该程序具有重量轻、安装方便等优点,为平流层飞艇阀门控制提供了一种设计方法。
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引用次数: 0
期刊
2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)
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