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检索条件"任意字段=7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018"

共 474 条记录，以下是451-460 订阅

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DMPC Applied to the Temperature Regulation System of Building under Packet Dropout Communication

DMPC Applied to the Temperature Regulation System of Buildin...

引用

ieee data driven control and learning systems conference

作者： Qingnan Huang Liujun Xie College of Electrical and Information Engineering Guangxi University Of Science and Technology Liu zhou 545006

ISBN: (纸本)9781538626191

A solution to the interference of control signals and signal loss in the process of signal transmission in the process of decentralized model predictive control (DMPC) is introduced in this paper. Judging whether the data packet is lost at each time sampling signal, then the approximate value of the lost signal at this time is calculated in an alternative way. the results show that: this method is feasible.

关键词： Decentralized model predictive control Packet dropout communication Modeling

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Exponential Stability for Event-driven Impulsive control systems

Exponential Stability for Event-Driven Impulsive Control Sys...

引用

ieee data driven control and learning systems conference

作者： Zidong Ai College of Automation and Electronic Engineering Qingdao University of Science and Technology

ISBN: (纸本)9781538626191

In this work, we conduct stability analysis for a class of multi-module impulsive control systems via an event-driven scheme. By designing some event-driven conditions and a proper event-driven impulsive control law, we establish some sufficient stability criteria for the considered systems. the proposed event-driven control scheme is advantageous to reduce the utilization of communication and computation resources. Further, we study the impulsive synchronization problem for two continuous-time dynamical systems with different initial values. Finally, an example of Chua's circuit with simulations results are provided to illustrate the validity of the method.

关键词： Stability Analysis Event-driven control Multi-Module Impulse Synchronization

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Bioinspired Adaptive Spiking Neural Network to control NAO Robot in a Pavlovian Conditioning Task 7

Bioinspired Adaptive Spiking Neural Network to Control NAO R...

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7th ieee RAS/EMBS International conference on Biomedical Robotics and Biomechatronics, BIOROB 2018

作者： Antonietti, Alberto Casellato, Claudia Angelo, Egidio Dr Pedrocchi, Alessandra Department of Electronics Information and Bioengineering Neuroengineering and Medical Robotics Laboratory Politecnico di Milano Piazza L. Da Vinci 32 I-Milano Italy University of Pavia Department of Brain and Behavioral Sciences Via Forlanini 6 Pavia Italy Brain Connectivity Center IRCCS Istituto Neurologico Nazionale C. Mondino Via Mondino 2 Pavia Italy

ISBN: (纸本)9781538681831

the cerebellum has a central role in fine motor control and in various neural processes, as in associative paradigms. In this work, a bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real-time. the learning properties of the system have been challenged in a classic cerebellum-driven paradigm, the Pavlovian timing association between two provided stimuli, here implemented as a laser-avoidance task. the neurophysiological principles used to develop the model, succeeded in driving an adaptive motor control protocol with acquisition and extinction phases. the spiking neural network model showed learning behaviors similar to the ones experimentally measured with human subjects in the same conditioning task. the model processed in real-time external inputs, encoded as spikes, and the generated spiking activity of its output neurons was decoded, in order to trigger the proper response with a correct timing. three long-term plasticity rules have been embedded for different connections and with different time-scales. the plasticities shaped the firing activity of the output layer neurons of the network. In the Pavlovian protocol, the neurorobot successfully learned the correct timing association, generating appropriate responses. therefore, the spiking cerebellar model was able to reproduce in the robotic platform how biological systems acquire and extinguish associative responses, dealing with noise and uncertainties of a real-world environment. © 2018 ieee.

关键词： Neural network models

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Computationally Inexpensive Robust data driven Optimal Point-To-Point Tracking ILC for City Subway Trains subject to Iteration-Dependent Disturbances

Computationally Inexpensive Robust Data Driven Optimal Point...

引用

ieee data driven control and learning systems conference

作者： Genfeng Liu Zhongsheng Hou Advanced Control Systems Laboratory School of Electronic & Information Engineering Beijing Jiaotong University Beijing 100044

ISBN: (纸本)9781538626191

this paper presents a robust data driven optimal point-to-point ILC for subway trains with multiple-point tracking and subject to iteration-dependent disturbances by only utilizing input output data of the train system. Firstly, the tracking task requires that the control input is updated according to the prespecified measured multiple-point tracking error values rather than the complete output trajectory, which can reduce computational cost. Secondly, without model information of the train system, a robust data driven control law is designed. then, rigorous analysis is developed which demonstrates that the train tracking error is monotonic uniformly ultimately bounded convergence and the ultimate bound which only depends on the disturbances boundedness. Finally, a simulation is conducted for train system to verify the effectiveness of theoretical studies.

关键词： data driven control Robust optimal PTPILC City subway trains Low computational cost

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Discrete control of Micro Quadrotor Aircraft via Sampling Feedback

Discrete Control of Micro Quadrotor Aircraft via Sampling Fe...

引用

ieee data driven control and learning systems conference

作者： Fakui Wang Weisheng Chen Hao Dai Jing Li Jinping Jia School of Aerospace Science and Technology Xidian University Xi’an 710071 China School of Mathematics and Statistics Xidian University Xi’an 710071 China

ISBN: (纸本)9781538626191

this paper studies a discrete control algorithm of through sampling feedback. On the digital computer control plat-form, a sampled-data controller is designed to control a quadrotor UAV system based on backstepping control method and the proposed continuous controller. the results show that, compared with theoretically continuous time control scheme, our discrete controller can realize the purpose of stable flight. Finally, a simulation example is given to show the effectiveness of the proposed control scheme.

关键词： Discrete control Sampling Feedback Micro Quadrotor Aircraft Backstepping control

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data-driven Reconstruction for Massive Buildings within Urban Scenarios: A Case Study

Data-driven Reconstruction for Massive Buildings within Urba...

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data driven control and learning systems (ddcls)

作者： Ziye Chen Xiaojia Xiang Han Zhou Tianjiang Hu College of Intelligence Science and Technology National University of Defense Technology Changsha China Sun Yat-sen University Guangzhou China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

the reconstruction and visualization of urban environments is widely used in immersive simulation, but the massive data of buildings bring huge burden to the modelling and rendering process. this paper proposes an improved fast approach to build and visualize the scene graph based on the level of details (LOD). Firstly, an automatic reconstruction scheme of urban buildings is designed by using the public vector data set. Secondly, a tree-type organization and management structure is constructed for urban scenarios inspired by the idea of recursive division. thirdly, a dynamic data scheduling strategy is developed with concerns of self-organizing the generated 3D massive model data. the developed approach is called Detail Segmentation of Scene Tree Method, namely DSSTM. Finally, experiments are conducted for performance comparison between the proposed DSSTM and a conventional method, while both are realized by using the open source library, OpenSceneGraph, http://***/. the experimental results of reconstructing Changsha City have verified that the proposed method is effective and efficient for practical applications of visualization on large-scale urban with massive buildings. the rendering speed is increased to 4~7 times of the conventional method, the dynamic loading time is shortened by 90%.

关键词： Buildings Floors Urban areas three-dimensional displays data models Rendering (computer graphics) Loading

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Intelligent Drug Recognition System Based on Improved YOLOv7 and PP-OCRv3

Intelligent Drug Recognition System Based on Improved YOLOv7...

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data driven control and learning systems (ddcls)

作者： Zhenhao Chen Yilin Chen Zongjin Yang Na Qin Deqing Huang Institute of Systems Science and Technology Southwest Jiaotong University Chengdu P.R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

the manual dispensing of drugs by pharmacists is time-consuming, labor-intensive, and has a low accuracy rate. In order to address this issue, this paper proposes an automated drug dispensing method based on improved object detection and text recognition. this method first embeds a Simple Attention Module (SimAM) into the network structure of YOLOv7, named YOLOv7_Sim, to achieve the localization and recognition of medicine bottles. Additionally, a lightweight PP-OCRv3 is employed for text recognition on liquid bags, and the similarity between the recognition results and the names of drugs on the prescription is used to determine a match. the novelty of this method lies in the combination of YOLOv7 and SimAM, which improves the accuracy of medicine bottle recognition and enhances the algorithm's robustness. Experimental results demonstrate that compared to YOLOv7, YOLOv7_Sim shows significant performance improvements, with a 3.12% increase in mAP, 0.69% increase in precision, and 2.83% increase in recall for the same type of medicine bottle. the proportion of fully recognized text on liquid bags is 90.6%. the drug recognition system, which combines YOLOv7_Sim and lightweight PP-OCRv3, has practical engineering significance for automating the drug dispensing process.

关键词： Drugs Location awareness learning systems Accuracy Liquids Text recognition Manuals

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Evolutionary Game Gynamics driven by Heterogeneous Self-learning Rules

Evolutionary Game Gynamics Driven by Heterogeneous Self-lear...

引用

ieee data driven control and learning systems conference

作者： Lei Zhou Bin Wu Vitor V. Vasconcelos Long Wang Center for Systems and Control Peking University Beijing 100871 P. R. China School of Sciences Beijing University of Posts and Telecommunications Beijing 100876 P. R. China Department of Ecology and Evolutionary Biology Princeton University Princeton New Jersey 08544 USA

ISBN: (纸本)9781538626191

How to achieve full cooperation among large numbers of individuals is essential for both artificial and biological systems. learning rules (or updating rules), which specify how individuals change their behavior over time, are vital to probe this problem. Here, we incorporate individual heterogeneity into the self-evaluation process and propose the heterogeneous self-learning dynamics. When the selection intensity is weak, we analytically derive that the final outcomes of the heterogeneous dynamics can be obtained by combining the outcomes of all the corresponding homogeneous dynamics in well-mixed populations. Meanwhile, a simple condition is found which tells whether one behavior will be more abundant than the other in the long run. All of our analytical results are verified by simulations. Our work thus reveals some interesting characteristics of heterogeneous self-learning dynamics.

关键词： Cooperation Self-learning rules Evolutionary dynamics Game theory

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Design of Regional Logistics System Based on Unmanned Aerial Vehicle

Design of Regional Logistics System Based on Unmanned Aerial...

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ieee data driven control and learning systems conference

作者： Haoyuan Ni Xiaohui Deng Bo Gong Pangwei Wang Beijing Key Lab of Urban Intelligent Traffic Control Technology North China University of Technology China Highway Engineering Consultants Corporation

ISBN: (纸本)9781538626191

With the development of electronic commerce, a large number of labors are demanded to complete the express delivery, because of the complexity of labor management, the increasing amount of labors will result in increasing complication of the express distribution process. In addition, the express also has great limitations in mountainous areas, disaster areas and other special areas of harsh conditions. To solve the problem, this paper presents an intelligent regional logistics transportation system based on unmanned aerial vehicle (UAV). Firstly, this paper designs the application (APP) for mobile phone to send coordinate information and delivery route to the UAV. then the GPS and visual identification location module of UVA help implement the delivery for the residential area. this system can help achieve a safer, cheaper, less delayed, more orderly and unmanned regional logistics system in residential neighborhoods or other similar areas. Finally, the problem of "last kilometer logistics" will be solved to some extent by this method.

关键词： Intelligent transportation system(ITS) Unmanned aerial vehicle (UAV) Regional logistics system

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Moving Object Real-time Detection and Tracking Method Based on Improved Gaussian Mixture Model

Moving Object Real-time Detection and Tracking Method Based ...

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ieee data driven control and learning systems conference

作者： Shanliang Zhu Xin Gao Haoyu Wang Guangwei Xu Qiuling Xie Shuguo Yang Research Center for Mathematical Modeling School of Mathematics and Physics Qingdao University of Science and Technology Qingdao 266061 China Finance Office Qingdao University of Science and Technology Qingdao 266061 China Institute of Intelligence Science & Data Technology School of Mathematics and Physics Qingdao University of Science and Technology Qingdao 266061 China

ISBN: (纸本)9781538626191

In order to improve the reliability of moving objects detection and tracking, this paper presents a method for moving object real-time detection and tracking based on Vibe and Gaussian mixture model (GMM). this method uses the "Virtual" background model that is trained by video sequence instead of the first frame image for background modeling. And then the foreground object is extracted based on the pixel classification. Finally, according to the morphological method, the clearer moving targets are conducted to realize the real-time detection and tracking. the experimental results show that, in comparison with the current mainstream background subtraction techniques, our approach effectively works on a wide range of complex scenarios, with faster detection speed and more reliable detection results.

关键词： Moving object detection Vibe Gaussian mixture model Pixel classification

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