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Data-driven optimal switching and control of switched systems

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Control Theory and Technology 2021年第3期19卷 299-314页

作者： Chi Zhang minggang gan Chenchen Xue School of Automation Beijing Institute of TechnologyBeijing100081China Beijing Institute of Control Engineering BeijingChina China Academy of Launch Vehicle Technology BeijingChina

In this paper,optimal switching and control approaches are investigated for switched systems with infinite-horizon cost functions and unknown continuous-time *** first,for switched systems with autonomous subsystems,the optimal solution based on the finite-horizon HJB equation is proposed and a data-driven optimal switching algorithm is ***,for the switched systems with subsystem inputs,a data-driven optimal control approach based on the finite-horizon HJB equation is *** data-driven approaches approximate the optimal solutions online by means of the system state data instead of the subsystem ***,the convergence of the two approaches is ***,the validity of the two approaches is demonstrated by simulation examples.

关键词： Switched systems Optimal switching Optimal control Data-driven control

Hierarchical particle filter tracking algorithm based on multi-feature fusion

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Journal of Systems Engineering and Electronics 2016年第1期27卷 51-62页

作者： minggang gan Yulong Cheng Yanan Wang Jie Chen School of Automation Beijing Institute of Technology

A hierarchical particle filter（HPF） framework based on multi-feature fusion is *** proposed HPF effectively uses different feature information to avoid the tracking failure based on the single feature in a complicated *** this approach,the Harris algorithm is introduced to detect the corner points of the object,and the corner matching algorithm based on singular value decomposition is used to compute the firstorder weights and make particles centralize in the high likelihood *** the local binary pattern（LBP） operator is used to build the observation model of the target based on the color and texture features,by which the second-order weights of particles and the accurate location of the target can be ***,a backstepping controller is proposed to complete the whole tracking *** and experiments are carried out,and the results show that the HPF algorithm with the backstepping controller achieves stable and accurate tracking with good robustness in complex environments.

关键词： particle filter corner matching multi-feature fusion local binary patterns(LBP) backstepping.

Common model analysis and improvement of particle swarm optimizer

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控制理论与应用（英文版） 2007年第3期5卷 233-238页

作者： Feng PAN Jie CHEN minggang gan Guanghui WANG Tao CAI School of Information Science Technology Beijing Institute of Technology Beijing 100081 China

Particle swarm optimizer （PSO）, a new evolutionary computation algorithm, exhibits good performance for optimization problems, although PSO can not guarantee convergence of a global minimum, even a local minimum. However, there are some adjustable parameters and restrictive conditions which can affect performance of the algorithm. In this paper, the algorithm are analyzed as a time-varying dynamic system, and the sufficient conditions for asymptotic stability of acceleration factors, increment of acceleration factors and inertia weight are deduced. The value of the inertia weight is enhanced to （-1, 1）. Based on the deduced principle of acceleration factors, a new adaptive PSO algorithm- harmonious PSO （HPSO） is proposed. Furthermore it is proved that HPSO is a global search algorithm. In the experiments, HPSO are used to the model identification of a linear motor driving servo system. An Akaike information criteria based fitness function is designed and the algorithms can not only estimate the parameters, but also determine the order of the model simultaneously. The results demonstrate the effectiveness of HPSO.

关键词： Particle swarm optimizer Asymptotic stability Global convergence System identification Akaike information criteria

Application of Wavelet Threshold Method to DTG Signal Processing

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Application of Wavelet Threshold Method to DTG Signal Proces...

An Improved Wavelet Thresholding Denoising Method with Exponential-threshold Function Based on Particle Swarm Optimizer

2010 Chinese Control and Decision Conference

作者： Tao Cai~1,minggang gan~1,Ting Yu~1 1.School of Automation,Beijing Institute of Technology,Beijng 100081,China

＜正＞In the process of azimuth measuring,the output signal of a gyro always contains noises caused by gyro drifting and ambient environmental *** order to reduce the noises and recover the original signal,conventional digital filtering methods such asⅡR and FIR could be *** the outputs of these filters would be distorted or in lack of smoothness under some special *** analysis is suitable to this circumstance for its characteristic of multi-resolution of time and frequency and localization in ***,a wavelet threshold filter is designed,and the simulating result is given.A comparison was made on the results of wavelet threshold,IIR and FIR filtering *** analysis demonstrates that wavelet threshold filtering performance is the best.

关键词： Gyro Digital filtering FIR IIR Wavelet threshold filtering

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An Improved Wavelet Thresholding Denoising Method with Expon...

2010 Chinese Control and Decision Conference

作者： minggang gan~1,Jie Chen~1,Hongwei Yang~1 1.School of Automation,Beijing Institute of Technology Beijing,China,100081

＜正＞Wavelet thresholding Denoising is one of main methods to eliminate *** selecting proper threshold value and utilizing nonlinear methods with threshold functions to process wavelet coefficients,the optimum de-noising effect could be obtained in the sense of mean square ***-threshold function is widely used in wavelet thersholding ***,how to select exponents is still an open *** this paper,the PSO technique is introduced to select the exponents of the prevalent exponential-threshold function with SNR as index function. Simulation results indicate that adopting the exponential-threshold function which is processed by optimization algorithms,better filtering effect could be acquired than the classical soft-,hard- and threshold methods.

关键词： Particle Swarm Optimizer wavelet thresholding Denoising exponential-threshold function

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硫化氢减少缺氧时人脐静脉内皮细胞的凋亡

中国组织化学与细胞化学杂志 2016年第6期25卷 482-486页

作者：毛慕华张竹铭罗友根冯毅婷方洪霞刘名纲李志强甘海丽魏楚蓉井冈山大学医学部神经退行性疾病与衰老研究中心吉安343009 吉安职业技术学院医务室吉安343000

目的探讨硫化氢对血管内皮细胞缺氧性损伤的保护作用及机制。方法将人脐静脉内皮细胞于2%O_2、5%CO_2、93%N_2培养箱中培养24h,复制缺氧模型。以硫氢化钠(NaHS)作为硫化氢供体,采用DCFH-DA和激光共聚焦系统检测细胞内活性氧含量;用Fura-... 详细信息

目的探讨硫化氢对血管内皮细胞缺氧性损伤的保护作用及机制。方法将人脐静脉内皮细胞于2%O_2、5%CO_2、93%N_2培养箱中培养24h,复制缺氧模型。以硫氢化钠(NaHS)作为硫化氢供体,采用DCFH-DA和激光共聚焦系统检测细胞内活性氧含量;用Fura-2/AM和显微荧光成像系统检测细胞质内钙离子([Ca^(2+)]_i)浓度;使用Rh123和激光共聚焦系统检测细胞线粒体膜电位(mitochondria membrane potential,MMP);用Hoechst33342染色观察细胞核形态,计算细胞凋亡率。结果缺氧使细胞ROS含量显著升高,硫氢化钠预处理显著降低缺氧所致ROS含量的升高;缺氧使细胞[Ca^(2+)]_i显著升高,而NaHS、活性氧清除剂NAC、IP_3受体抑制剂Xesto C均抑制缺氧诱导[Ca^(2+)]_i的升高;缺氧显著降低细胞MMP,NaHS、NAC预处理缺氧细胞则抑制。MMP降低;NaHS、Xesto C预处理可显著降低缺氧所致细胞凋亡。结论硫化氢可能一方面通过减轻缺氧时ROS增多引起的线粒体膜电位下降,保护线粒体功能;另一方面抑制缺氧时ROS增多诱导的钙超载,从而减少缺氧时人脐静脉内皮细胞的凋亡。

关键词：缺氧硫化氢人脐静脉内皮细胞凋亡

An Improved Particle Swarm Optimization Algorithm for Solving Impulsive Control Problem

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An Improved Particle Swarm Optimization Algorithm for Solvin...

第二十九届中国控制会议

作者： YANG Hongwei 1,2,DOU Lihua 1,2,CHEN Jie 1,2,gan minggang 1,2,LI Peng 3 1.School of Automation,Beijing Institute of Technology,Beijing 100081,P.R.China2.Beijing Key Laboratory of Automatic Control System(Beijing Institute of Technology),Beijing,100081,P.R.China 3.Beijing Research&Design Institute of Rubber Industry,Beijing,100039,P.R.China

The particle swarm optimization(PSO),a newly developed method to the optimal impulse control,is an optimized algorithm with collective *** impulsive control problem has abrupt change of system states that make the problem of finding the global optimum difficult using any usual mathematical *** this paper,an improved PSO algorithm is applied to obtain optimal numerical solutions to impulsive control *** operation strategy of ordered variables and Boolean variables is devised in such a way that the dynamic process inherent in the basic PSO is *** demonstrate its efficiency and versatility,the proposed algorithm is applied and tested in two numerical *** results indicate that PSO algorithms can effectively find good enough solutions approximate to global optimum,although the solution algorithm is a population-based search one and is not suitable for the on-line implementation in real-time problems.

关键词： Optimal Impulse Control Particle Swarm Optimization Penalty Function

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基于图神经网络的非均匀风电场功率预测方法

太阳能学报 2023年第11期44卷 279-286页

作者：刘德澳董明刚叶威王彦甘国军桂林理工大学信息科学与工程学院桂林541004 广西嵌入式技术与智能系统重点实验室桂林541004

针对现有的非均匀风电场发电功率预测方法准确度不高、可解释性差等问题,提出一种改进的物理引导的图神经网络(IPGNN)模型来预测非均匀风电场的发电功率输出。首先,构建一个基于三维高斯尾流模型的物理信息基函数,可更准确地反映非均匀... 详细信息

针对现有的非均匀风电场发电功率预测方法准确度不高、可解释性差等问题,提出一种改进的物理引导的图神经网络(IPGNN)模型来预测非均匀风电场的发电功率输出。首先,构建一个基于三维高斯尾流模型的物理信息基函数,可更准确地反映非均匀风电场中风力机之间尾流相互作用的关系;其次,设计一组基于消息传递框架的图神经网络更新策略,该策略在图神经网络边缘更新中结合注意力机制将物理信息基函数作为权重更新函数,可增强模型的可解释性。在不同数量风力机下的非均匀风电场仿真实验表明,相比于基于一维尾流模型的PGNN模型和典型的数据驱动模型,IPGNN模型均可获得较好的预测效果,其中对具有20台风力机的非均匀风电场,发电功率预测平均绝对误差为3.92%,可认为是一种有效的非均匀风电场发电功率预测方法。

关键词：深度学习图神经网络风电功率风电场数值模拟

下降管浸入深度对RH内夹杂物去除影响的模拟研究

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铸造技术 2015年第9期36卷 2286-2288页

作者：于海龙沈明钢甘雨王志英辽宁科技大学材料与冶金学院辽宁鞍山114051

为了改善钢材质量,设计4种不同下降管浸入深度的RH模型。利用Fluent软件对夹杂物的去除进行模拟。结果表明,增加RH下降管浸入深度可以显著提高夹杂物的去除率,缩短夹杂物的去除时间,提高钢液的洁净度。

关键词： RH精炼下降管浸入深度夹杂物数值模拟