2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)最新文献_第5页

Impedance Control without Environment Model by Reinforcement Learning 基于强化学习的无环境模型阻抗控制

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012210

Adolfo Perrusquía, Wen Yu, Xiaoou Li

引用次数: 1

Ship-induced Wave Numerical Simulation in Head-on Situation of Two Ships in Shallow Water 浅水区两船迎面碰撞的船致波数值模拟

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012178

Haibo Xie, Yang Song, Zongyao Xue, C. Yan, Shibo Zhou, Zehua Li

{"title":"Ship-induced Wave Numerical Simulation in Head-on Situation of Two Ships in Shallow Water","authors":"Haibo Xie, Yang Song, Zongyao Xue, C. Yan, Shibo Zhou, Zehua Li","doi":"10.1109/ICICIP47338.2019.9012178","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012178","url":null,"abstract":"The size of the ship-induced wave directly affects the bank, slope protection and ship-to-ship interference under the condition of head-on situation. This paper used the conventional computational fluid dynamics analysis software STAR-CCM+, the models such as VOF multiphase flow model, 6DOF kinematics model and RNG k-ε turbulence model combined with RANS numerical method were used to simulate the coupling of the ship-induced wave in head-on situation in the inland river shallow channel based on CFD technology. The coupling and reflection of ship-induced wave and the effect on the two ship hull and the bank are further analyzed. Using the 6-DOF and overlapping meshing model, the motion of the two ships in different situations from the approaching to leaving of the two ships was carried out, and the variation of the ship-induced wave height between the two ships was observed and discussed. Through numerical calculation and simulation, it is found that the ship-induced wave has obvious interference to the ship-to-ship interaction, and the ship-induced wave height changes significantly, and the waveform coupling response is realistic. The result can be used as a reference for research and design departments.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133519280","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

RBF Neural Network-Sliding Model Control Approach for Lower Limb Rehabilitation Robot Based on Gait Trajectories of SEMG Estimation 基于表面肌电信号步态轨迹估计的RBF神经网络滑模控制方法

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012202

Zhongbo Sun, Xiao-jun Duan, Feng Li, Yongbai Liu, Gang-Yi Wang, Tian Shi, Keping Liu

{"title":"RBF Neural Network-Sliding Model Control Approach for Lower Limb Rehabilitation Robot Based on Gait Trajectories of SEMG Estimation","authors":"Zhongbo Sun, Xiao-jun Duan, Feng Li, Yongbai Liu, Gang-Yi Wang, Tian Shi, Keping Liu","doi":"10.1109/ICICIP47338.2019.9012202","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012202","url":null,"abstract":"This paper designed and developed a new RBF neural network-sliding model controller for patients with stroke and lower extremity motor dysfunction, and applied it to a 3 degrees of freedom (3-DOF) lower limb rehabilitation robot (LLRR) for passive rehabilitation of patients. At first, a simple LLRR structure is designed that can be adjusted to fit the patient at the hip, knee, and ankle joints. Then, the patient's sEMG signal is obtained to predict the expected trajectory of the LLRR system, where the EMG signal is detected by BIOPAC software. Moreover, a RBF neural network-sliding model approach is designed for the dynamics model of the LLRR, and the asymptotic stability of the controller is verified via a Lyapunov theorem. Finally, LLRR system is experimentally verified by the MATLAB software, which exploit that the proposed control approach is feasible and effective for the lower extremity patients. Thereby, the developed control approach has illustrated high efficiency and robustness for the patient's passive rehabilitation training in real-time.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132476152","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: 3

Fault Detection Filtering for Nonlinear Systems with Packet Dropout 非线性丢包系统的故障检测滤波

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012214

Yangyang Qian, Mingang Hua, J. Fei

引用次数: 0

Comparison of Control Methods Based on Imitation Learning for Autonomous Driving 基于模仿学习的自动驾驶控制方法比较

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012185

Yinfeng Gao, Yuqi Liu, Qichao Zhang, Yu Wang, Dongbin Zhao, Dawei Ding, Zhonghua Pang, Yueming Zhang

{"title":"Comparison of Control Methods Based on Imitation Learning for Autonomous Driving","authors":"Yinfeng Gao, Yuqi Liu, Qichao Zhang, Yu Wang, Dongbin Zhao, Dawei Ding, Zhonghua Pang, Yueming Zhang","doi":"10.1109/ICICIP47338.2019.9012185","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012185","url":null,"abstract":"Recently, some learning-based methods such as reinforcement learning and imitation learning have been used to address the control problem for autonomous driving. Note that reinforcement learning has strong reliance on the simulation environment and requires a handcraft design of the reward function. Considering different factors in autonomous driving, a general evaluation method is still being explored. The purpose of imitation learning is to learn the control policy through human demonstrations. It is meaningful to compare the control performances of current main imitation learning methods based on the provided dataset. In this paper, we compare three typical imitation learning algorithms: Behavior cloning, Dataset Aggregation (DAgger) and Information maximizing Generative Adversarial Imitation Learning (InfoGAIL) in the The Open Racing Car Simulator (TORCS) and Car Learning to Act (CARLA) simulators, respectively. The performance of algorithms is evaluated on lane-keeping task in racing and urban environment. The experiment results show DAgger performs best in simple lane keeping problem, and InfoGAIL has the unique advantage of distinguishing different driving styles from expert demonstrations.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129901750","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

Generalised Fully Probabilistic Controller Design for Nonlinear Affine Systems 非线性仿射系统的广义全概率控制器设计

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012201

Ana Zafar, R. Herzallah

{"title":"Generalised Fully Probabilistic Controller Design for Nonlinear Affine Systems","authors":"Ana Zafar, R. Herzallah","doi":"10.1109/ICICIP47338.2019.9012201","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012201","url":null,"abstract":"This paper demonstrates the extension of the Fully Probabilistic Design control method to nonlinear discrete-time stochastic dynamical systems which are affine in the input signal and are also affected by multiplicative noises. As nonlinear systems do not usually have a closed form analytic control solution, many current control methods are mostly based on linearising the system equations first and then deriving the analytic control solution. To address this problem, this paper proposes a new method which does not require the linearisation of the nonlinear system equations. This will be achieved by expressing these nonlinear equations in a different variation that will be affine in the state as well as control input, thus yielding a quadratic in the state optimal performance index. This transformation of the nonlinear system equations to an affine form in the state will result into a state dependent Riccati Equation. The derived state dependent Riccati equation is a generalisation of the Riccati equation which also has additional terms due to multiplicative noise. The simulation demonstrated that the state dependent Riccati equation in the FPD framework performed better than the LQR state dependent Riccati solution in terms of achieving a better regulation to the system state results.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559467","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

Exploiting the Relationship between Online and Spatial Collaboration Networks for Online Mass Collaboration 利用在线和空间协作网络之间的关系进行在线大规模协作

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012206

Tao Wang, Dayong Shen, Jiamin Liu, Feng Yao, Zhongshan Zhang

引用次数: 2

An Improved Scan Matching Method Based on Laser Reflection Intensity 一种基于激光反射强度的改进扫描匹配方法

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012189

Guojing Wu, Jingchuan Wang, Hesheng Wang, Le Xie, Peng Li

引用次数: 0

Music Genre Classification Based on Chroma Features and Deep Learning 基于色度特征和深度学习的音乐类型分类

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012215

Leisi Shi, Chen Li, Lihua Tian

{"title":"Music Genre Classification Based on Chroma Features and Deep Learning","authors":"Leisi Shi, Chen Li, Lihua Tian","doi":"10.1109/ICICIP47338.2019.9012215","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012215","url":null,"abstract":"Music genre classification is an important branch of content-based music signal analysis. It is a challenging task in the field of music information retrieval (MIR). At present, the method based on deep learning has achieved good results. This paper constructs a neural network framework for music genre classification based on chroma feature. The chroma feature can represent the time domain and the frequency domain of music character and consider the existence of harmony. Besides, it is independent of the timbre, volume, absolute pitch, which are completely irrelevant to the genre classification. It is relatively robust to the background noise and can represent the primary information such as monophonic and polyphonic music distribution. In this paper, we estimate the type of music audio based on chroma feature combined with deep learning network. We input this feature into VGG16 network for training, and improve the last three layers. In the experiment, the classifier is trained by GTZAN dataset. The experimental results show that the framework can obtain higher classification accuracy and better performance.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250276","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: 9

Automatic Detection and Identification of RFI Sources for SMAP Satellite Polarized Data Based on IDL 基于IDL的SMAP卫星极化数据RFI源自动检测与识别

2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2019-12-01 DOI: 10.1109/ICICIP47338.2019.9012190

Xinxin Wang, Xiang Wang, Jianchao Fan, Jianhua Zhao, Yu Wang, Enbo Wei

{"title":"Automatic Detection and Identification of RFI Sources for SMAP Satellite Polarized Data Based on IDL","authors":"Xinxin Wang, Xiang Wang, Jianchao Fan, Jianhua Zhao, Yu Wang, Enbo Wei","doi":"10.1109/ICICIP47338.2019.9012190","DOIUrl":"https://doi.org/10.1109/ICICIP47338.2019.9012190","url":null,"abstract":"The SMAP satellite is the third scientific research satellite to be equipped with an L-band microwave radiometer, following on from the SMOS and Aquarius. The working frequency band of SMAP is 1.413 GHz, a protected frequency band which is becoming more polluted from a large amount of radio frequency interference (RFI)around the world. In this paper, an automatic processing system that can realize RFI detection, clustering, identification and localization is constructed based on an IDL development platform. Long-term serial cross-polarization data from the SMAP satellite L-band microwave radiometer is used as a data source to realize preliminary detection and localization of nonlinearly varying terrestrial RFI. Localization of the RFI sources has an important guiding significance for the relevant institutions by accelerating the identification of illegal RFI sources so that they can be shut down. Even for RFI sources that are temporarily unable to be turned off, RFI source localization and long-sequence feature analysis are still significant in order to simulate terrestrial RFI transmission antenna patterns and establishing RFI suppression models.","PeriodicalId":431872,"journal":{"name":"2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123484280","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