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共 15478 条记录，以下是181-190 订阅

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On Minimum-Dispersion control of Nonlinear Diffusion Processes 16th

On Minimum-Dispersion Control of Nonlinear Diffusion Proces...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Chertovskih, Roman Pogodaev, Nikolay Staritsyn, Maxim Aguiar, A. Pedro ARISE Department of Electrical and Computer Engineering Faculdade de Engenharia Universidade do Porto Rua Dr. Roberto Frias Portos/n 4200-465 Portugal University of Padova Via Trieste Padova63-35121 Italy

ISBN: (纸本)9783031817236

This work collects some methodological insights for numerical solution of a "minimum-dispersion" control problem for nonlinear stochastic differential equations, a particular relaxation of the covariance steering task. The main ingredient of our approach is the theoretical foundation called ∞-order variational analysis. This framework consists in establishing an exact representation of the increment (∞-order variation) of the objective functional using the duality, implied by the transformation of the nonlinear stochastic control problem to a linear deterministic control of the Fokker-Planck equation. The resulting formula for the cost increment analytically represents a "law-feedback" control for the diffusion process. This control mechanism enables us to learn time-dependent coefficients for a predefined Markovian control structure using Monte Carlo simulations with a modest population of samples. Numerical experiments prove the vitality of our approach. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic control systems

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Peer-to-Peer Integrated Smart Gardening Automation Using Cloud Technology with Real-Time Environmental Monitoring and Logging via Blynk Cloud Dashboard

Peer-to-Peer Integrated Smart Gardening Automation Using Clo...

引用

2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Malik, Praveen Kumar Bharti, Veena Misra, Neeti Yamsani, Nagendar Mahajan, Anshul Singh, Parulpreet School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Raj Kumar Goel Institute of Technology Ghaziabad India Uttaranchal Institute of Management Uttaranchal University Department of Management Uttarakhand Dehradun India School of Computer Science and Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798331527495

The authors of this article discuss the holistic method of automation of gardening operations based on IoT technology that allows real time environmental factors to be monitored, decisions to be made based on data, and those decisions to be executed at a distance. The objective of the system is to minimize the amount of water used, to improve the state of the plants, and ultimately to allow the users of the system to control their gardens from anywhere in the world with as little effort as possible. The concept makes use of the continuously monitored network of sensors to observe important parameters like soil moisture, temperature, humidity, light intensity and rainfall among others. After being received, this information is up to date and the system will use this data to manage irrigation and lighting systems for the plants efficiently. Also, the support of this cloudbased platform is essential today as it allows the users to look up the parameters in their garden remotely and go for manual intervention when required. All the advantages of cloud technology provide remote control of the system but also all the historical data sets which are important trends in future decision making. © 2025 IEEE.

关键词： Green computing

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Cow’s Back Surface Segmentation of Point-Cloud Image Using PointNet++ for Individual Identification 16th

Cow’s Back Surface Segmentation of Point-Cloud Image Using ...

引用

16th international conference on Genetic and Evolutionary computing, ICGEC 2024

作者： Kyaw, Pyae Phyo Tin, Pyke Aikawa, Masaru Kobayashi, Ikuo Zin, Thi Thi Graduate School of Engineering Miyazaki Japan Organization for Learning and Student Development Miyazaki Japan Sumiyoshi Livestock Science Station Field Science Center Faculty of Agriculture University of Miyazaki 1-1 Gakuen Kibanadai-Nishi Miyazaki889-2192 Japan

ISBN: (纸本)9789819615308

An automatic cow health monitoring and management system cannot function effectively without an identification system in livestock farming. While 2D image-based computer vision currently achieves high accuracy in cow identification, its effectiveness can be significantly decreased by changes in lighting, environmental factors, and other limitations. To address these limitations, an identification system based on point-cloud images will be developed by using a combination of 3D TOF camera and 2D RGB camera. This system includes detection and segmentation stage, feature extraction stage, and identification stage. In this study, I focus on detecting and segmenting of cow back surface region from a point-cloud image using the PointNet+ + algorithm. Two segmentation models are trained and compared based on single-scale grouping (SSG) and multi-scale grouping (MSG) features. The extracted cow back surface region offers a rich set of features valuable for several applications, including individual cow identification, lameness detection, and body condition scoring. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image segmentation

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Zonotope-based fault estimation for Lipschitz nonlinear systems 3

Zonotope-based fault estimation for Lipschitz nonlinear syst...

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2024 3rd international conference on Aerospace and control engineering, ICoACE 2024

作者： Ma, Siyuan Zhang, Wei Jiang, Qiang Gao, Sheng School of Automatic and Electrical Engineering Shenyang Ligong University Shenyang110158 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai200120 China

An estimation of fault intervals using a T-N-L structured observer is suggested for Lipschitz nonlinear systems. By augmenting state vectors, the augmentation system and its observer are established, enabling the observer to concurrently estimate fault and system states. The L∞ performance is applied to enhance the resilience of the fault interval estimation to external disturbances and unanticipated inputs. An adequate requirement for the observer design is also presented. The interval estimation of states and faults is ultimately created by using a zonotope. The proposed method exhibits advantages and feasibility when compared to existing simulation techniques. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Nonlinear systems

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Artificial Neural Network-Based Fast Power Reserve control for Active Power Balancing

Artificial Neural Network-Based Fast Power Reserve Control f...

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international conference of the TC Electrimacs Committee, ELECTRIMACS 2024

作者： Tannous, Antonella Razi, Reza Binot, Ferréol Francois, Bruno Univ. Lille Arts et Metiers Institute of Technology Centrale Lille JUNIA Lille France

ISBN: (纸本)9783031739200

Microgrids play a crucial role in modernizing the power grid by facilitating the integration of renewable energy sources. However, these sources exhibit high intermittency and stochastic behaviour, leading to challenges in effectively managing a microgrid amidst varying load demand and unexpected grid events. To address these uncertainties, local advanced control methods that leverage real-time data and enhanced computing capabilities are required. Frequency droop controllers generate additional power faster than the allocated power reserve to achieve an instantaneous balance of the electrical system. The automatic frequency restoration consists in making other generators participate gradually after 30 seconds. This paper proposes an intelligent control technique designed to enhance the static frequency droop controller, aiming to achieve active power balancing while minimizing CO2 emissions and operating costs. Consequently, an artificial neural network-based adaptive module is developed to anticipate and substitute the diesel-based reserve with a low carbon footprint reserve. This module considers new influencing input factors to anticipate and adjust the power setpoints of a stationary storage unit. The effectiveness of the proposed method is demonstrated on an islanded AC microgrid. The real-time simulation is conducted and validated on Opal-RT simulator, showing improved active power balancing while reducing both costs and CO2 emissions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Microgrids

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FPGA-based Real-Time High-resolution Image Processing for rocket on-board processing 17

FPGA-based Real-Time High-resolution Image Processing for ro...

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17th IEEE international conference on Computer Research and Development, ICCRD 2025

作者： Zhou, Hui Wang, Xiaofeng Xie, Yujia Cao, Yongxiang Tang, Yu Huo, Yongchun Wen, Huan Zhao, Xiongbo Li, Chaoran National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute Beijing China Beihang University Computer Science and Engineering Beijing China Beihang University National Superior College for Engineers Beijing China

ISBN: (纸本)9798331531881

The structure of the rocket-borne model is inherently complex, with processed images exhibiting high resolution and generating substantial amounts of data and calculations. Achieving robust real-Time computing on an embedded platform poses significant challenges due to strictly limited resources, power consumption constraints, and size limitations. Our review of rocket-borne applications reveals considerable variability in the design resources of different devices, indicating a need for expanded design approaches. Upon evaluating existing methods, we identified two primary drawbacks. First, certain operators within the high-resolution target detection model are difficult to parallelize, resulting in significant inference delays that hinder the ability to meet task requirements. Although existing methods have been extended, there remains significant potential for performance enhancement in core scheduling for poor acceleration. This paper proposes an optimized architecture for the target detection algorithm accelerator designed for high-resolution images, along with a novel highly parallel data pre-processing and post-processing module implemented on FPGA to address these issues. Compared to the ARM implementation, this architecture demonstrates an improved performance of 24.64x. Furthermore, to ensure flexible application across various rocket launch scenarios, we introduce an optimization structure for convolution, pooling, and fusion operators and a multi-core expansion optimization method. This approach yields a 1.29x improvement in computing unit utilization compared to state-of-The-Art multi-core scaling efforts. Finally, we assessed the accelerator architecture across multiple FPGA platforms, achieving a peak processing element utilization rate of 99.71% for a single core and layer. The overall computing efficiency, excluding the first layer, exceeded 90%. The peak computing power for the four cores reached 1638.4 GOPS, and the end-To-end computation time for

关键词： Image enhancement

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Based on PPO Reinforcement Learning for Ship Berthing and Departure control

Based on PPO Reinforcement Learning for Ship Berthing and De...

引用

international conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhou, Ziyan Ma, Feng Zhou, Xuan Intelligent Transportation System Center Wuhan University of Technology Wuhan China State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China Henan Transport Investment Group Co. LTD. Zhengzhou China

ISBN: (纸本)9789819639564

A control method based on proximal policy optimisation (PPO) algorithm is proposed to control autonomous berthing of unmanned vessels. Firstly, Bessel curves are used to generate the desired path, and the heading error, speed error, and lateral error are obtained by calculating with the current state of the ship, and then these errors are used as inputs to establish the reward function mechanism, and then the state of the ship and the reward obtained are inputted into the PPO algorithm so that the intelligent body can take behaviours according to the state and the reward, and finally, the actions of the intelligent body are inputted into the ship model to achieve bi-variable control of the ship’s rudder angle and thrust. Finally, the actions of the intelligent body are inputted into the ship model to achieve the bivariate control of the rudder angle and thrust. The experimental results show the effectiveness of PPO reinforcement learning in the automatic berthing process of unmanned vessels with low speed, interference and low rudder efficiency. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Reinforcement learning

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Identification of the Region of Attraction of Synchronous Machines and Grid-Following Converters Through Reverse Trajectories

Identification of the Region of Attraction of Synchronous Ma...

引用

international conference of the TC Electrimacs Committee, ELECTRIMACS 2024

作者： Carreño, Miguel Song, Jie Gomis-Bellmunt, Oriol Griñó, Robert CITCEA – Universitat Politècnica de Catalunya Barcelona Spain Institute of Industrial and Control Engineering Department of Automatic Control Universitat Politècnica de Catalunya Barcelona Spain

ISBN: (纸本)9783031739200

Synchronous machines and grid-following converters exhibit nonlinear second-order differential equations that rule their synchronization dynamics. Furthermore, the attraction exerted by the stable equilibrium points is limited to a certain region of attraction. In small networks, where a single generator is connected to an infinite bus, the region of attraction is bounded by curves, and can be plotted in a plane. Hence, this paper presents a simplified version of the reverse trajectory method for identifying the region of attraction of an equilibrium point. The selection of the initial conditions is backed with physical arguments, and the performance of the method is tested with different parameters. A three-phase short circuit is also tested to verify the consistency of the boundaries obtained with this technique. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Synchronous machinery

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Implementing Blockchain for Transparent and Secure Financial Transactions in the Modern Business World

Implementing Blockchain for Transparent and Secure Financial...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Saeed, Ali Swetha, K. Singh, Navdeep Yadav, Mohit Anandhi, R.J. Venkatraman, Akila College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India New Horizon College of Engineering Department of Information Science Engineering Bangalore India Griet Department Of Information Technology Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

The main point of this study is to find out how blockchain technology might be able to help make business financial deals safer and more open. Blockchain technology is changing the financial world because it creates a global record system that can't be changed. These tools are making this change happen. Three parts are used in the method given to create a safe system: the Elliptic Curve Digital Signature Algorithm, Proof of Work agreement, and Merkle Trees. In this method, Merkle Trees are also used. These techniques are used by this system to investigate not only the data, but also the security of the cryptography and the proof that comes from outside the system. To find out how well firewalls, audit trails, SSL encryption, multi-signature wallets, and role-based access control work, the components must be compared to them. Using this method could have several benefits, such as decentralization, immutability, openness, correctness, foreign access, automation of smart contracts, and increased efficiency. According to the study, blockchain technology can make information easier to find, speed up financial transfers, and reduce concerns about security. © 2025 IEEE.

关键词： Authentication

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Attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control 3rd

Attitude Stabilization Control for Unmanned Aerial Vehicle w...

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

作者： Mo, Fan Gu, Chaochen Wang, Kunkun Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9789819616930

To address the periodic disturbances introduced by the manipulator mounted on the drone, as well as the overall system parameter variations caused by the robotic arm carried by the Unmanned Aerial Vehicle (UAV), the fixed-time convergence observer (FTCO) is introduced to ADRC to enhance the dynamic characteristics, including overshoot and convergence speed. The Active Disturbance Rejection controller (ADRC) is employed as the fundamental controller for UAV systems while the FTCO is used to rapidly observe disturbances and compensate them to the controller, aiming to counteract interference. The UAV system is established to verify the effect of Fixed-Time Convergence Observer-Active Disturbance Rejection controller (FTCO-ADRC) when it is compared to conventional ADRC and PID controller. The simulation outcome reveals that the FTCO-ADRC perform better in convergence speed, overshoot and robustness. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Disturbance rejection

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