2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)最新文献_第5页

Event-Triggered Based Adaptive Dynamic Surface Control for a Class of Quadrotor UAVs* 一类四旋翼无人机基于事件触发的自适应动态表面控制*

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642199

Erzhen Shang, Yang Gao, Yang Li, Bo Yu, Jiasen Sun, Yilin Jia, Cheng Zhong, Guoqiang Zhu, Xiuyu Zhang

引用次数: 0

On Pinning Synchronization of An Array of Linearly Coupled Dynamical Network 线性耦合动态网络阵列的钉住同步

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642181

Wudai Liao, Haoran Chen, Jinhuan Chen, Chaochuan Zhang, Xiufen Xin, Xiaobo Han

引用次数: 0

Optimal Control Problem for Linear System Based on Adaptive Dynamics Programming and Gradient Descent Method 基于自适应动态规划和梯度下降法的线性系统最优控制问题

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642163

Yanzhi Wu, Lu Liu

引用次数: 0

Adaptive Discrete Time Dynamic Surface Control for Aircraft Flight Path Angle with Unknown Disturbances 未知干扰下飞机航迹角的自适应离散时间动态曲面控制

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642183

Huan He, Xiaodi Xu, Yilin Jia, Cheng Zhong, Guoqiang Zhu, Xiuyu Zhang

{"title":"Adaptive Discrete Time Dynamic Surface Control for Aircraft Flight Path Angle with Unknown Disturbances","authors":"Huan He, Xiaodi Xu, Yilin Jia, Cheng Zhong, Guoqiang Zhu, Xiuyu Zhang","doi":"10.1109/ICICIP53388.2021.9642183","DOIUrl":"https://doi.org/10.1109/ICICIP53388.2021.9642183","url":null,"abstract":"Aiming at the problem of tracking control system of the aircraft flight path angle, an adaptive discrete time dynamic surface control algorithm is proposed. Firstly, introducing the concept of discrete time system, the sampling signal form used is easy to suppress noise, and the impact of delay on the system is reduced through sampling. Afterwards, the dynamic surface control and the first-order digital low pass filter is introduced which making both controller and parameters easier and avoiding differential explosion in traditional backstepping method. Furthermorethe RBF Neural Network is introduced to approximate the unknown parameters and uncertain items in the system and the unknown interference part of the externa, which reduces the requirements on the system and structure. By using the Lyapunov function theory, it is proved that the closed-loop system is semi-globally ultimately uniformly bounded. Finally, simulation verification is performed and the results show that the proposed control algorithm can not only make the flight path angle track the reference trajectory, but also has a certain degree of robustness to unknown system parameters and unknown external interference.","PeriodicalId":435799,"journal":{"name":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115519497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning Representation with Q-irrelevance Abstraction for Reinforcement Learning 基于q -不相关抽象的强化学习表示

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642160

Shuai Hao, Luntong Li, Minsong Liu, Yuanheng Zhu, Dongbin Zhao

{"title":"Learning Representation with Q-irrelevance Abstraction for Reinforcement Learning","authors":"Shuai Hao, Luntong Li, Minsong Liu, Yuanheng Zhu, Dongbin Zhao","doi":"10.1109/ICICIP53388.2021.9642160","DOIUrl":"https://doi.org/10.1109/ICICIP53388.2021.9642160","url":null,"abstract":"In order to improve the performance of deep reinforcement learning (DRL) algorithm in high-dimensional observation environments, we propose a new auxiliary task to learn representations to aggregate task-relevant information of observations. Inspired by Q-irrelevance abstraction, our auxiliary task trains a deep Q-network (DQN) to predict the true Q value distribution over all discrete actions. Then we use the output of DQN to train the encoder to discriminate states with different Q values. The encoder is used as the representation of proximal policy optimization (PPO). The resulting algorithm is called as Q-irrelevance Abstraction for Reinforcement Learning (QIARL). After training, the encoder can aggregate states with similar Q value distributions together for any policy and any action. Thus the encoder can encode the important information that is relevant to reinforcement learning task. We test QIARL in four Procgen environments compare with PPO, A2C and Rainbow. The experimental results show QIARL outperforms the other three algorithms.","PeriodicalId":435799,"journal":{"name":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"30 52","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120837830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Improved Multiple Sound Source Localization Method Using a Uniform Concentric Circular Microphone Array 一种改进的均匀同心圆形传声器阵列多声源定位方法

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642218

Yuting Zhang, Hongwei Zhang, Honghai Liu

引用次数: 0

Advanced Discrete Generalized-Neurodynamic Model Applied to Solve Discrete Time-Variant Augmented Sylvester Equation with Perturbation Suppression 应用先进的离散广义神经动力学模型求解具有扰动抑制的离散时变增广Sylvester方程

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642177

Yang Shi, Guoqian Liu, Jie Wang, Jiazheng Zhang, Jian Li, Dimitrios Gerontitis

引用次数: 0

Fusing Ultra-wideband Range Measurements with IMU for Mobile Robot Localization 基于IMU的超宽带距离测量融合移动机器人定位

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642157

Shanwen Guan, Xiao-peng Luo

{"title":"Fusing Ultra-wideband Range Measurements with IMU for Mobile Robot Localization","authors":"Shanwen Guan, Xiao-peng Luo","doi":"10.1109/ICICIP53388.2021.9642157","DOIUrl":"https://doi.org/10.1109/ICICIP53388.2021.9642157","url":null,"abstract":"Due to the widespread use of robotics in recent years, accurate localization and tracking have become active research topic. As a low-power wireless communication and sensing technology, Ultra-wideband (UWB) has relatively accurate positioning and sensing capabilities, and has broad application prospects for precise positioning and other fields. But due to the complex environment and obstacles, the non-line-of-sight(NLOS) error generated by it will be severe. It seriously affects the position estimation of the system, resulting in low positioning accuracy and poor robustness. Improving the accuracy and robustness of the UWB positioning technology in a complex environment, a method based on the fusion of UWB and IMU data, which effectively combines global positioning and local positioning, positioning, using LSTM neural network algorithm processes the IMU data, and The EKF algorithm merge the IMU and UWB. Compared with the traditional UWB positioning method, this method can effectively suppress Control the influence of NLOS interference in positioning estimation and improve the accuracy and robustness of the positioning system.","PeriodicalId":435799,"journal":{"name":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128622238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ontology Intelligent Construction Technology for NOTAM 面向NOTAM的本体智能构建技术

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642197

Bai-gang Mi, Yi Fan, Yu Sun

{"title":"Ontology Intelligent Construction Technology for NOTAM","authors":"Bai-gang Mi, Yi Fan, Yu Sun","doi":"10.1109/ICICIP53388.2021.9642197","DOIUrl":"https://doi.org/10.1109/ICICIP53388.2021.9642197","url":null,"abstract":"With the coming of the new information epoch, the quantity of aeronautical intelligence information increases exponentially. In the effort to improve the efficiency and security of the aeronautical industry, it has become a key factor to determine how to acquire, extract, and represent knowledge from a large set of aeronautical intelligence information and forming a knowledge base to guide the intelligent development of aeronautical intelligence information management work. In order to promote integration and sharing of information regarding aeronautical intelligence information domain and obtain the deeper information and knowledge, the construction and application of NOTAM (Notice to Air Men) ontology are developed based on text mining. The NOTAM text is collected and analyzed by web crawler technology. Combined with the professional term in specific domain, we successfully extract the key concepts of the ontology by TF-IDF (term frequency-inverse document frequency) text features. Furthermore, the hierarchical and non-hierarchical relations are automatically extracted by text cluster methods and specific domain knowledge system. Finally, the ontology editor—protégé helps us to visualize the key concepts and the relations in the ontology. Meanwhile, a NOTAM text is instanced to verify the efficiency and precision of the NOTAM ontology.","PeriodicalId":435799,"journal":{"name":"2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128632538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and Implementation of Braking Control for Hybrid Electric Vehicles 混合动力汽车制动控制的设计与实现

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI: 10.1109/ICICIP53388.2021.9642191

Peng Mei, Shichun Yang, Bing-rui Xu, Kangkang Sun, Chao Zhang

引用次数: 0