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The 27th Chinese Control and Decision Conference (2015 CCDC)最新文献

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Design of the feedback controller for deep brain stimulation of the parkinsonian state based on the system identification 基于系统辨识的帕金森状态下深部脑刺激反馈控制器设计
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7161792
Huiyan Li, Chen Liu, Jiang Wang
A novel closed-loop control strategy of deep brain stimulation is explored in this paper. By establishing an input-output model of the basal ganglia, the causality between the external stimuli and neuronal activities can be revealed. One-step ahead prediction constructs the probable future information of the tracking errors, which is used to guide the amplitude of the current pulse train stimuli. By comparing the traditional and iterative learning proportional control algorithms, the latter control strategy not only automatically can optimize the control signals without requirements of any particular knowledge on the details of model, but also can reduce the energy expenditure of the stimuli by accelerating the control process. This work may point to the potential value of model-based design of closed-loop controllers and pave the way towards the optimization of deep brain stimulation parameters and structures for Parkinson's disease.
提出了一种新的脑深部电刺激闭环控制策略。通过建立基底神经节的输入输出模型,可以揭示外部刺激与神经元活动之间的因果关系。一步预测构建了跟踪误差可能的未来信息,用于指导当前脉冲序列刺激的幅度。通过对比传统和迭代学习比例控制算法,迭代学习比例控制策略不仅可以在不需要对模型细节有任何特定了解的情况下自动优化控制信号,而且可以通过加速控制过程来减少刺激的能量消耗。这项工作可能指出基于模型的闭环控制器设计的潜在价值,并为帕金森病深部脑刺激参数和结构的优化铺平道路。
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引用次数: 0
Finite-time H∞ performance analysis for a kind of T-S fuzzy descriptor system with time-delay 一类时滞T-S模糊广义系统的有限时间H∞性能分析
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7161692
B. Zhu, A. Liu, Y. Gu, Qingling Zhang
The finite-time H∞ performance analysis problems are investigated for T-S descriptor systems in this paper. The sufficient conditions are proposed such that the system is finite-time bounded and impulse free and satisfies a prescribed H∞ norm bound. The obtained method is the ability to eliminate the impulsive behavior of descriptor systems so as to guarantee the existence and uniqueness of solutions. A positive matrix is constructed to overcome the difficulties which will result in an infeasible linear matrix inequality (LMI). By combining the FEASP solver with GEVP solver of the LMI toolbox, we perform simulations to validate the obtained methods for a nonlinear descriptor system via the T-S fuzzy model. It shows the application of the T-S fuzzy method in studying finite-time H∞ performance analysis problems for a kind of nonlinear descriptor systems.
研究了T-S广义系统的有限时间H∞性能分析问题。给出了系统是有限时间有界、无脉冲且满足规定的H∞范数界的充分条件。所得到的方法是能够消除广义系统的脉冲行为,从而保证解的存在唯一性。为了克服线性矩阵不等式不可行的困难,构造了一个正矩阵。结合LMI工具箱中的FEASP求解器和GEVP求解器,通过T-S模糊模型对非线性描述子系统进行了仿真验证。给出了T-S模糊方法在研究一类非线性广义系统有限时间H∞性能分析问题中的应用。
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引用次数: 0
The research on flywheel acceleration assessment with null motion escaping singularity for variable speed control moment gyros 变速控制力矩陀螺零运动逃逸奇点飞轮加速度评估研究
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7162534
Liu Feng, Yao Yu, Zhao Hui
Compare with single gimbal control moment gyroscope, the variable flywheel speed of variable speed control moment gyroscope can be changed and easily realized, which have the ability of singular escaping. The flywheel acceleration and singularity problem are close connect with each other. In this paper, the flywheel acceleration index evaluation problem is solved with null motion to escaping the singular point. The mechanism of singular escaping is analyzed, and the process of singular escaping is revealed. The new null motion steering method is proposed, which is perpendicular to the gradient direction of null motion. The reasonable trajectory of gimbal position is planned. The optimal method is given to distribute the flywheel acceleration index with maximum escaping ability. The flywheel acceleration index assessment method is solved. The theory analysis result is foundation for the VSCMGs system optimization design.
与单万向节控制力矩陀螺仪相比,变速控制力矩陀螺仪的变飞轮转速可改变,易于实现,具有奇异逃逸能力。飞轮加速度和奇异性问题是密切相关的。针对飞轮加速度指标的评定问题,采用零运动逃避奇异点的方法进行求解。分析了奇异逃逸的机理,揭示了奇异逃逸的过程。提出了一种垂直于零运动梯度方向的零运动控制方法。规划了合理的云台位置轨迹。给出了以最大逃逸能力分配飞轮加速度指标的最优方法。解决了飞轮加速度指标的评定方法。理论分析结果是vscmg系统优化设计的基础。
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引用次数: 0
Design and implementation of chess roles guess probability in military chess computer game 军事象棋计算机游戏中棋类角色猜测概率的设计与实现
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7161850
Jiehong Wu, Feng Lv, Yuqi Cao, Ziheng Zhao
In recent years, along with the further study in incomplete information chess-military chess. How to express and address the incomplete information during the process of game, deciding certain moves strategies to obtain higher winning rate increasingly become a new issue. An approach using digit to express incomplete information in military chess is proposed in this paper, a model based on guessing probability to address incomplete information in military chess game is designed, and the programming process is provided. In the National Computer Games Tournament, the game program using this model is stronger than the others. Results are shown as 6 wins, 1 draw, and 1 lost. The average time of each moving step is shorter than opponent 2 second.
近年来,随着对不完全信息国际象棋——军事国际象棋研究的深入。如何表达和处理博弈过程中的不完全信息,确定一定的走法策略以获得更高的胜率,日益成为一个新的课题。提出了一种用数字表示军事象棋博弈中不完全信息的方法,设计了一种基于猜测概率的求解军事象棋博弈中不完全信息的模型,并给出了编程过程。在全国电脑游戏锦标赛中,使用该模型的游戏程序比其他模式更强大。结果显示为6胜1平1负。每一步移动的平均时间比对手短2秒。
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引用次数: 1
Elegant anti-disturbance control for uncertain discrete-time stochastic systems 不确定离散随机系统的优雅抗干扰控制
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7162371
Xinjiang Wei, Huifeng Zhang, Zhenkai Guo, Meiqin Tang, Xiaohua Liu
This paper proposes a new elegant anti-disturbance control strategy for a class of discrete-time stochastic systems subject to two kinds of disturbances. One represents the disturbance with partially-known information. The other is external random environmental disturbances. The stochastic disturbance observers can be constructed separately from the controller design to estimate the first kind of disturbance. Based on stochastic disturbance observer, a novel elegant anti-disturbance control scheme is proposed to improve the ability of anti-disturbance for discrete-time stochastic systems with known and unknown nonlinear dynamics, respectively. A simulation example is given to demonstrate the effectiveness of the proposed method compared with the previous schemes.
针对一类具有两种扰动的离散随机系统,提出了一种新的优雅的抗干扰控制策略。一个表示具有部分已知信息的扰动。另一种是外部随机环境干扰。随机扰动观测器可以与控制器设计分开构造,以估计第一类扰动。针对具有已知和未知非线性动力学的离散随机系统,基于随机扰动观测器,提出了一种新的优雅的抗扰动控制方案。仿真算例表明了该方法与现有方案的有效性。
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引用次数: 1
Online multi-step-ahead time series prediction based on LSSVR using UKF with sliding-windows 基于滑动窗口UKF的LSSVR在线多步超前时间序列预测
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7162646
Xiaoyong Liu, H. Fang
Accurate multi-step-ahead prediction over long future horizons posts great challenges for the application of time series prediction. A novel online multi-step-ahead prediction method based on least squares support vector regression (LSSVR) is proposed in this paper. Taken the superiorities of using sliding-windows to reduce largely computation burden and implementing LSSVR model updating by Unscented Kalman Filter (UKF) into consideration, the proposed method not only can construct online predicted model in much fewer training data (such as the size of original training data set required is only the sum of embedding dimension corresponding to phase-space-reconstruction and the length of sliding-windows), but also has the better accuracy over multi-step-ahead prediction. When the prediction horizon reached the predefined step p in the process of predicting, model parameters consisted of kernel width σ, support values {αk}k=1L and bias term b are updated by new arrived measurements and UKF. Finally, several simulations are provided to show the validity and applicability of the proposed method.
准确的多步超前预测对时间序列预测的应用提出了很大的挑战。提出了一种基于最小二乘支持向量回归(LSSVR)的在线多步预测方法。考虑到滑动窗口大大减少计算量和使用Unscented卡尔曼滤波(UKF)实现LSSVR模型更新的优点,该方法不仅可以在更少的训练数据(如所需原始训练数据集的大小仅为相空间重构对应的嵌入维数与滑动窗口长度之和)下构建在线预测模型;而且比多步超前预测精度更高。在预测过程中,当预测水平到达预定步长p时,由核宽度σ、支持值{αk}k=1L和偏差项b组成的模型参数由新到达的测量值和UKF更新。最后,通过仿真验证了该方法的有效性和适用性。
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引用次数: 1
Reliable stabilization of delta operator switched linear systems with mode-dependent average dwell time 具有模相关平均停留时间的增量算子切换线性系统的可靠镇定
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7161720
Hao Hu, B. Jiang, Hao Yang
This paper concentrates the reliable stabilization problem for a class of delta operator switched linear systems, in terms of mode-dependent average dwell time (MDADT) approach. Firstly, based on MDADT approach, asymptotical and exponential stability of delta operator nonlinear switched systems is analyzed. Then, the reliable controller and the minimum MDADT are designed to stabilize the considered delta operator linear switched system with actuator faults. A flight control switched system is given to show the validity and potential of the proposed method.
本文从模相关平均停留时间(MDADT)的角度研究了一类切换算子线性系统的可靠镇定问题。首先,基于MDADT方法,分析了delta算子非线性切换系统的渐近稳定性和指数稳定性。然后,设计了可靠控制器和最小MDADT来稳定考虑执行器故障的增量算子线性切换系统。最后以一个飞行控制切换系统为例,验证了该方法的有效性和潜力。
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引用次数: 0
Fuzzy-model-based stabilization of nonlinear packetized networked control systems 基于模糊模型的非线性分组网络控制系统镇定
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7162285
B. Tang, Jiali Qin, Yun Zhang
This paper is concerned with fuzzy-model-based stabilization of nonlinear packetized networked control systems (NCSs) with time-varying transmission delays and transmission intervals based on a delay-distribution approach. The real-time distribution of input delays is modeled as a dependent and nonidentically distributed process. A randomly switched Takagi-Sugeno fuzzy system with multiple input-delay subsystems is proposed to model the nonlinear packetized NCSs. Based on an improved Lyapunov-Krasovskii method, new delay-distribution-dependent sufficient conditions are derived for the deterministic asymptotical stability of the overall systems. The resulting controller design method can be formulated as an iterative linear optimization algorithm with LMI constraints. Numerical examples are presented to substantiate the advantage of our results.
本文研究了基于时滞分布方法的时变传输时延和传输间隔非线性分组网络控制系统的模糊模型镇定问题。将输入延迟的实时分布建模为一个相互依赖的非同分布过程。提出了一种具有多输入延迟子系统的随机切换Takagi-Sugeno模糊系统来对非线性分组ncs进行建模。基于改进的Lyapunov-Krasovskii方法,导出了整体系统确定性渐近稳定的新的时滞分布相关充分条件。由此产生的控制器设计方法可以表述为具有LMI约束的迭代线性优化算法。数值算例证明了本文结果的优越性。
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引用次数: 0
Design and implementation of I-FOG with wide start dynamic range 大启动动态范围I-FOG的设计与实现
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7161927
Yuan Huizheng, Gao Bo, Lu Junqing, L. Xingshan, Ge Zhonghao
An ideal way to achieve high precision of I-FOG is to enhance Sagnac effect. Lengthing the fiber and enlarging the diameter of fiber coil are the major two methods. However, they bring sharp decrease on the dynamic range of I-FOG. An algorithm attempting to make the I-FOG dynamically start and work on higher interference fringe is presented and designed. The experiment platform to verify the algorithm is also established. Experiment results show that the dynamic range of I-FOG is successfully enlarged from Ω ~ Ωπ to Ω-7π ~ Ω. The bias and scalar factor test show that the dynamic-range-extended I-FOG is at the same precision as the original I-FOG. The dynamic start experiment also shows a further evidence to prove the correctness and reliable of the dynamic-range-extended algorithm.
提高Sagnac效应是实现I-FOG高精度的理想途径。延长纤维长度和扩大纤维卷的直径是两种主要的方法。但是,它们会使I-FOG的动态范围急剧减小。提出并设计了一种使光纤陀螺在高干扰条纹上动态启动和工作的算法。建立了验证算法的实验平台。实验结果表明,成功地将I-FOG的动态范围从Ω-π ~ Ωπ扩大到Ω-7π ~ Ω7π。偏差和标量因子测试表明,动态范围扩展的I-FOG具有与原始I-FOG相同的精度。动态启动实验进一步证明了动态范围扩展算法的正确性和可靠性。
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引用次数: 0
Modeling and optimized control algorithm for a solar fresh air heating system 太阳能新风供暖系统建模与优化控制算法
Pub Date : 2015-07-20 DOI: 10.1109/CCDC.2015.7162836
Wang Li, Z. Tao, Dingnai Xiu
A solar fresh air heating system with phase change thermal storage was introduced in this paper as an environmental protection energy saving method, and the mathematical model of the air conditioning room was derived based on law of thermodynamics. The fresh air temperature control problem was also addressed, and self-tuning parameter fuzzy PID controller was proposed for disturbance rejection due to the time delay problem and parameter variations, which was designed to regulate the flow rate to control the fresh air temperature. The controller presented is then validated, through simulation and experiment, to provide superior control performance with higher control accuracy, faster response and stronger robustness to a conventional PID controller.
本文介绍了一种具有相变蓄热的太阳能新风供暖系统作为一种环保节能方法,并根据热力学定律推导了空调房间的数学模型。针对新风温度的控制问题,提出了自整定参数模糊PID控制器,以抑制因时间延迟问题和参数变化引起的扰动,通过调节流量来控制新风温度。通过仿真和实验验证了所提出的控制器与传统PID控制器相比具有更高的控制精度、更快的响应速度和更强的鲁棒性。
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引用次数: 0
期刊
The 27th Chinese Control and Decision Conference (2015 CCDC)
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