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共 35064 条记录，以下是251-260 订阅

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Consensus control and Disturbance Rejection for Leader-Following Multi-Agent systems Based on Reduced-Order Observers 13

Consensus Control and Disturbance Rejection for Leader-Follo...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Pang, Guochen Xiao, Xiong Chen, Xiangyong Lu, Yang Qiu, Jianlong Liu, Yang School of Automation and Electrical Engineering Linyi University Linyi China College of Mathematics and Computer Science Zhejiang Normal University Jinhua China School of Computer Science and Engineering Linyi University Linyi China

ISBN: (纸本)9798350315196

The focus of this paper is on the issue of disturbance rejection in leader-follower multi-agent systems based on a reduced-order observer. By combining with the practical, unknown perturbations are considered to be generated by the external system by designing a reduced-order estimation observer to obtain an estimate of the disturbances in the followers. Second, a control protocol is designed for each follower based on the obtained estimates. The design method of the reduced-order observer used in this paper simplifies the state equations of the reduced-order observer by reducing the order compared to the full-order observer, which is simpler to compute and can also effectively suppress the effects of disturbances. Finally, the feasibility of this scheme is verified by numerical examples. © 2023 ieee.

关键词： Disturbance rejection

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Contact Volumetric Mesh Simulation of GelStereo Visuotactile Sensors 13

Contact Volumetric Mesh Simulation of GelStereo Visuotactile...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Cui, Shaowei Zhang, Chaofan Shao, Zhihao Dong, Chengju Wang, Yu Wang, Shuo Tian, Yuan Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Institute of Automation Chinese Academy of Sciences Beijing100190 China Fifth Electronics Research Institute of Ministry of Industry and Information Technology Guangzhou511370 China Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology Shanghai200031 China Beijing University of Science and Technology Beijing100083 China

ISBN: (纸本)9798350315196

Visuotactile sensing simulation will significantly accelerate progress in learning robotic dexterous manipulation skills, but remains a challenging problem. Unlike previous studies that focused on optical path simulation, we focuses on high-precision, high-fidelity simulation of contact deformation using GelStereo sensing in this paper. We propose a finite element (FEM)-based volumetric mesh simulation model for the GelStereo sensors. Specifically, we perform calibration contact experiments to obtain the finite element parameters of the elastomer, and a large number of simulated contact experiments with real contact label verity the effectiveness of the proposed simulation model. This study is a preliminary exploration of the simulation of GelStereo-type sensors, which has positive significance for the simulation modeling of visuotactile sensors with deformation as the core tactile feature. © 2023 ieee.

关键词： Mesh generation

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Multi-Objective Trapping of UAVs Swarm Based on Gene Regulatory Networks 13

Multi-Objective Trapping of UAVs Swarm Based on Gene Regulat...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Xu, Peng Shi, Ze Fan, Zhun College of Engineering International Cooperation Base of Evolution Intelligence and Robotics of Guangdong Province Shantou University Shantou515063 China

ISBN: (纸本)9798350315196

Encirclement mode formation in swarm robotic systems is a long-term hot research topic. Most of the encirclement control models designed by traditional methods are based on global information. This paper proposes a distributed unmanned swarm control method. The approach is based on gene regulatory network models and does not rely on any direct communication. The gene regulatory network model will generate a concentration field based on the input target and obstacle information, which will be used by the unmanned swarm to autonomously assign targets and guide the unmanned swarm to move towards the target. In this method, the UAV only needs to obtain the local information within the sensing range through the sensors carried by itself, and can complete the assignment and encirclement tasks of multiple targets by itself, getting rid of the unmanned swarm's dependence on global information. Finally, the validity and reliability of the proposed model are verified by simulating in an obstacle environment. © 2023 ieee.

关键词： Genes

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An Accumulated Error Based Self-Triggered MPC with Adaptive Prediction Horizon for cyber Physical systems 5

An Accumulated Error Based Self-Triggered MPC with Adaptive ...

引用

5th international conference on Robotics, intelligent control and Artificial Intelligence, RICAI 2023

作者： He, Ning Li, Wenqian Zhou, Hong Xu, Zhongxian School of Mechanical and Electrical Engineering Xi'an University of Architecture and Technology Xi'an China Shaanxi Building Materials Technology Group Co. Ltd Xi'an China School of Automation Xi'an University of Post and Telecommunications Xi'an China

ISBN: (纸本)9798350357950

An accumulated error based self-triggered model predictive control (AST-MPC) algorithm with an adaptive prediction horizon is proposed for cyber physical systems in this paper. Rather than executing the controller update periodically, the next time of solving the MPC optimization problem is determined according to a new accumulated error based triggering mechanism. Meanwhile, the corresponding prediction horizon is shortened as the state approaches the target regions based on which the communication times and computational complexity of the optimization problem can be reduced simultaneously. Given such a new MPC algorithm, the stability of the considered cyber physical system is analyzed theoretically to guarantee its applicability. Finally, the simulation verification results are provided to illustrate the effectiveness of the algorithm. © 2023 ieee.

关键词： adaptive prediction horizon cyber physical system model predictive control self-triggered mechanism

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Smart intelligent control Application Using Quantum Computation and Machine Learning 2

Smart Intelligent Control Application Using Quantum Computat...

引用

2nd ieee international conference on IoT, Communication and automation technology, ICICAT 2024

作者： Singh, Amit Ranjan, Roop Kapil, Alok Govil, Ravi Raghav, Prabhat Institute of Technology & Science Department of Computer Application Ghaziabad India Budhha Institute of Technolgy Department of Computer Science & Engg. Gorakhpur India Deptt. of Computer Science & Engg. Ghaziabad India

ISBN: (纸本)9798350368109

Machine learning (ML) is significantly transforming and modernizing urban areas by enhancing service quality across various sectors such as transportation, security, robotics, healthcare, energy, and finance."Even with their overwhelming success, machine learning (ML) algorithms still require significant computational work with fast computer hardware in order to handle model complexity and guarantees that result in effective, dependable, and robust solutions. Regarding cyber security and digital protection, quantum computing (QC) is a formidable contender to assist machine learning (ML) systems achieve optimal performance. "This research aims to develop the Quantum Adaptive Neuro-Fuzzy Inference System (QANFIS) model for detecting distributed denial of service attacks in smart control applications. The usefulness of our proposed model is demonstrated by evaluating it against an actual dataset of denial of service attack incidents. Lastly, various unresolved problems and difficulties with fitting ML with QC are discussed along with the findings. © 2024 ieee.

关键词： Adversarial machine learning

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Simultaneous Temperature and Strain Measurement Based on Hollow-Core Fiber Sensor with Multi-Phenomenon 13

Simultaneous Temperature and Strain Measurement Based on Hol...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Yang, Nai-Fan Xia, Feng Liu, Bo College of Information Science and Engineering Shenyang University of Technology Shenyang China

ISBN: (纸本)9798350315196

A fiber optic sensor for simultaneous measurement of temperature and strain by observing transmission and reflection spectra is proposed and demonstrated. The sensor connects a hollow-core fiber in series with two single-mode fibers, and the transmission and reflection spectra are observed simultaneously by a demodulator. Anti-resonance phenomenon and Mach-Zehnder interference are observed in the transmission spectrum, and Fabry-Perot interference and Vernier phenomena are observed in the reflection spectrum. The anti-resonance phenomenon is sensitive to temperature, and the Fabry-Perot interference is sensitive to both strain and temperature. Since the responses of the two phenomena are different, a fiber optic sensor for simultaneous measurement of temperature and strain is proposed, achieving a sensitivity of 22.32 pm/°C for temperature and 1.62±/µ? for strain by using wavelength drift of Fabry-Perot interference. Currently, the spectral intensity of Mach-Zehnder interference is too low for three-parameter measurements. In the future, the MZI spectral intensity can be enhanced by improving the fiber structure (e.g., using hollow Bragg gratings) or fusion parameters. It is possible to utilize the anti-resonance and Mach-Zehnder phenomena in the transmission spectrum and the Fabry-Perot and harmonic phenomena in the transmission spectrum at the same time, thus achieving simultaneous four-parameter measurements. © 2023 ieee.

关键词： Fiber optic sensors

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A Hierarchical Framework for Cooperative Tasks in Multi-agent systems 11

A Hierarchical Framework for Cooperative Tasks in Multi-agen...

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11th ieee international conference on cybernetics and intelligent systems (CIS) / 11th ieee international conference on Robotics, automation and Mechatronics (RAM)

作者： Zhu, Yuanning Yang, Qingkai Tian, Daiying Fang, Hao Beijing Inst Technol Sch Automat Natl Key Lab Autonomous Intelligent Unmanned Syst Beijing 100081 Peoples R China ASTAR Inst High Performance Comp Singapore Singapore

ISBN: (纸本)9798350364200;9798350364194

In this paper, we propose a hierarchical framework for multi-agent systems to enhance cooperative tasks in dynamic environments. Accomplishing cooperative tasks can be challenging in dynamic environments. Reinforcement learning is a popular approach in this field, enabling agents to make real-time decisions. However, large state and action spaces often lead to poor performance, such as slow convergence and suboptimal policies. To address this issue, we utilize a hierarchical framework. Long-horizon and complicated tasks are decomposed into multiple subtasks. At the low-level, each subtask has a corresponding decision-making model, trained using the Soft Actor-Critic reinforcement learning algorithm. Additionally, a high-level component is introduced to determine which subtask to tackle at any given time. We discuss our method in the context of the popular hunting problem involving pursuers and an evader. Simulation demonstrates the efficacy and feasibility of our method in the hunting problem environment setting.

关键词： cooperative systems and control multi-agent systems deep reinforcement learning

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Dimension Reduction for Dynamic Analysis of Gene Expression Data Using Variational Autoencoder 13

Dimension Reduction for Dynamic Analysis of Gene Expression ...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Yuan, Shuai Chen, Shipeng Yang, Yongliang School of Electrical and Control Engineering Shenyang Jianzhu University Liaoning Shenyang110016 China Shenyang Institute of Automation State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110106 China

ISBN: (纸本)9798350315196

Single-cell RNA sequencing technology captures gene expression at the whole-genome scale and single-cell level in many cells. Thus, the cellular states during a physiological process would be captured in detail. These data provide new opportunities and challenges for systems biology. Previously, the models in systems biology dealt with the dynamics of specific signaling pathways. However, it is almost impossible to directly model the dynamics of the whole genome due to the ultrahigh dimensionality of the data. Here, to model its gene regulatory dynamics, the dimensionality of the whole genome was reduced significantly using the latent space of a variational autoencoder, a generative deep learning model. In the low-dimensional latent space, an ordinary differentiation equation (ODE) system has been established to analyze the dynamic characteristics of the whole genome system. To demonstrate the effectiveness of this method, we generated a low-dimensional representation of a systems biology model we previously developed. The variational autoencoder reduced the dimension from 13 to 2 in latent space. An ODE model was developed to analyze the dynamics of this two-dimensional system. The results indicated that the 2-dimensional model captured the essence of the original systems biology model. © 2023 ieee.

关键词： Dynamics

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Dynamic Multi-Scenario Hydropower Energy Model Considering Runoff Uncertainty 13

Dynamic Multi-Scenario Hydropower Energy Model Considering R...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Hou, Ying Yu, Zhiwei Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Faculty of Information Technology Beijing100124 China

ISBN: (纸本)9798350315196

Hydropower energy model (HEM) facilitates the construction and efficiency of the energy system, including the enhancement of power generation and the efficient utilization of water energy. Runoff uncertainty has influenced HEM accuracy, resulting in reduced energy production efficiency. To address this issue, a dynamic multi-scenario hydropower energy model considering runoff uncertainty (DMS-HEM) is presented in this paper. First, a library of probability distribution functions is constructed considering runoff characteristics. A dynamic selection mechanism based on kolmogorov-smirnov (KS) test is designed to select distribution probability function of reservoir from the library. Second, the initial runoff scenarios set is generated based on the selected distribution probability function by Latin hypercube sampling method. A fast predecessor elimination technique based on probability distance is used to obtain runoff scenarios set. Third, a dynamic multi-scenario hydropower energy model is established according to runoff scenarios set, with the constraint of guaranteed output. Annual power generation and water disposal are the optimization objective functions of the model. Finally, three algorithms are used to solve DMS-HEM and HEM. The experimental results show that DMS-HEM can reduce water disposal volume and increase energy generation effectively. © 2023 ieee.

关键词： Runoff

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Disturbance Compensation Based Sliding Mode control for Aerial Soft Manipulator System 13

Disturbance Compensation Based Sliding Mode Control for Aeri...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Jin, Ying Pei, Tengfei Yu, Hai Zhang, Zhaopeng Han, Jianda Liang, Xiao Institute of Robotics and Automatic Information System Tianjin Key Laboratory of Intelligent Robotics College of Artificial Intelligence Nankai University Tianjin300350 China Nankai University Ministry of Education Engineering Research Center of Trusted Behavior Intelligence Tianjin300350 China

ISBN: (纸本)9798350315196

Aerial manipulation is an emerging area of research that is experiencing rapid growth and has immense potential across various domains, including precision agriculture, construction, and search and rescue operations. The combination of quadrotor with manipulation capabilities can provide access to remote or hazardous areas, precise control over tasks, and increased efficiency and safety in operations. However, traditional aerial manipulation platforms equipped with rigid manipulators have such drawbacks greater weight and less safety. Consequently, a novel complaint aerial manipulation system is considered to be developed. In this paper, a novel structure of an aerial manipulation platform with a single-section continuum manipulator is developed. In order to address the center-of-mass displacement resulting from manipulator movements, a sliding mode controller is introduced as a means to ensure the quadrotor's flight remains smooth. Afterward, the Lyapunov theorem is employed to ensure stability of the entire closed-loop system. Subsequently, numerical simulations are carried out to showcase the superior performance of the proposed control scheme in comparison to the PD controller. © 2023 ieee.

关键词： Antennas

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