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2007 7th International Conference on ASIC Electronic Version(ASICON 2007)

作者： Mehrzad Samadi Ali Afzali-Kusha Caro Lucas Nanoelectronics Center of Exellence School of Electrical and Computer Engineering University of Tehran TehranIran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran TehranIran

Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of *** power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient *** Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in *** remarkable properties of emotional learning,low computational complexity and fast training,and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems,where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational *** the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world *** first we introduce methods of dynamic power management and then a new method based on BELBIC would be *** simulation results show that this method has a high efficiency in various systems.

关键词： Power Management by Brain Emotional Learning Algorithm

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Perpendicularity Error Evaluation of an Axis Based on New Generation GPS

Perpendicularity Error Evaluation of an Axis Based on New Ge...

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International Conference on Genetic and Evolutionary Computing (WGEC)

作者： Juan Peng Yanru Zhong Kewei Liu Meifa Huang School of Computer & Control Guilin University of Electronic and Technology Guilin China School of Mechanical & Electrical Engineering Guilin University of Electronic and Technology Guilin China

Operation and operator technologies used in new generation geometrical product specifications (GPS) provide the necessary knowledge basis for digitization and standardization in verification process of geometrical products. This paper analyzes the operator formation for perpendicularity error evaluation of an axis, and presents mathematical models and the objective optimization functions of every association operation based on the minimum zone solution. A multi-population genetic algorithm based read-coded is then introduced to solve the optimization problem. The basic idea and steps of the algorithm are described in detail. Finally, the measurement process of the perpendicularity error evaluation of an axis based on real-coded multi-population genetic algorithm is realized through an example. The experiment indicates that the proposed method is efficient and feasible. The result of evaluation is accurate and unique.

关键词： Global Positioning System Surface morphology Genetic algorithms computer errors computer aided manufacturing Mathematical model Error correction Solid modeling Standardization Mechanical products

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Mtd-Yolov5:Improved Yolov5 Based Multi-Scale Feature Fusion Enhancement Strategy for Marine Target Detection

SSRN

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SSRN 2023年

作者： Wei, Lian-Suo Huang, Shen-Hao Ma, Long-Yu School of Information Engineering Suqian University jiangsu Suqian223800 China College of Computer & Control Engineering Qiqihar University Heilongjiang Qiqihar161006 China

The complex ocean environment leads to low contrast in underwater images and poor target visibility. In addition, the detected objects have multi-scale properties and clustering issues, making marine object detection a challenging task. In this paper, we propose MTD-YOLOv5, an object detection model that leverages a multi-scale feature fusion augmentation strategy to enhance detection performance. First, we enhance the image by applying gray equalization and color space transformation. Then, we design a novel feature extraction module named PCBR, which combines max-pooling and convolution layers to better distinguish objects from backgrounds. Furthermore, we propose a multi-scale receptive field hybrid pooling (MHP) module, which combines horizontal and vertical receptive fields to build long-range dependencies, thereby capturing hidden target information present in high-level contexts. The experimental results show that the accuracy of MTD-YOLOv5 proposed in this paper is 2.6% higher than that of the original YOLOv5. © 2023, The Authors. All rights reserved.

关键词： Object detection

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Chinese sign language recognition with 3D hand motion trajectories and depth images

Chinese sign language recognition with 3D hand motion trajec...

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World Congress on Intelligent control and Automation (WCICA)

作者： Lubo Geng Xin Ma Haibo Wang Jason Gu Yibin Li School of Control Science and Engineering Shandong University Jinan Shandong China Department of Electrical and Computer Engineering Dalhousie University Halifax Nova Scotia Canada

An important part for sign language expression is hand shape, and the 3D hand motion trajectories also contain abundant information to interpret the meaning of sign language. In this paper, a novel feature descriptor is proposed for sign language recognition, the hand shape features extracted from the depth images and spherical coordinate (SPC) feature extracted from the 3D hand motion trajectories combine to make up the final feature representation. The new representation not only incorporates both the spatial and temporal information to depict the kinematic connectivity among hand, wrist and elbow for recognition effectively but also avoids the interference of the illumination change and cluttered background compared with other methods. Meanwhile, our self-built dataset includes 320 instances to evaluate the effectiveness of our combining feature. In experiments with the dataset and different feature representation, the superior performance of Extreme Learning Machine (ELM) is tested, compared with Support Vector Machine (SVM).

关键词： Trajectory Gesture recognition Assistive technology Shape Three-dimensional displays Feature extraction Support vector machines

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Reference wave generation in dynamic voltage restorers by use of PQR power theory

Reference wave generation in dynamic voltage restorers by us...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Hyosung Kim Sang-Joon Lee Seung-Ki Sul Department of Control Engineering Cheonan National Technical College South Korea School of Electrical Engineering and Computer Science Seoul National University South Korea

Dynamic voltage restorer (DVR)s are known as effective and economic means to compensate for voltage sags and swells. This paper proposes a novel method to generate reference waves synchronized with the grid whether or not the line voltages are distorted by a fault. The proposed reference wave generator (RWG) looks for the normal voltage waveforms in the grid from the corrupted line voltages and synthesizes the expected positive sequence reference waves for DVRs. There is no transient problem on the generated reference waves when the line voltages are distorted by faults. Experimental results verified the proposed theory very well.

关键词： Power generation Circuit faults Phase locked loops Power quality Mesh generation Dynamic voltage scaling Power generation economics Surges control systems Frequency

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Sailing Through Point Clouds: Safe Navigation Using Point Cloud Based control Barrier Functions

arXiv

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arXiv 2024年

作者： Dai, Bolun Khorrambakht, Rooholla Krishnamurthy, Prashanth Khorrami, Farshad Control/Robotics Research Laboratory Electrical & Computer Engineering Department Tandon School of Engineering New York University BrooklynNY11201 United States

The capability to navigate safely in an unstructured environment is crucial when deploying robotic systems in real-world scenarios. Recently, control barrier function (CBF) based approaches have been highly effective in synthesizing safety-critical controllers. In this work, we propose a novel CBF-based local planner comprised of two components: Vessel and Mariner. The Vessel is a novel scaling factor based CBF formulation that synthesizes CBFs using only point cloud data. The Mariner is a CBF-based preview control framework that is used to mitigate getting stuck in spurious equilibria during navigation. To demonstrate the efficacy of our proposed approach, we first compare the proposed point cloud based CBF formulation with other point cloud based CBF formulations. Then, we demonstrate the performance of our proposed approach and its integration with global planners using experimental studies on the Unitree B1 and Unitree Go2 quadruped robots in various environments. © 2024, CC BY.

关键词： Robot programming

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Research and design of control system for a tracked SAR robot under coal mine

Research and design of control system for a tracked SAR robo...

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IEEE International Conference on Automation and Logistics

作者： Yibin Li Caihong Li Ping Chen School of Control Science and Engineering Shandong University Jinan Shandong China School of Computer Science and Technology Shandong University of Technology Zibo Shandong China

ISBN: (纸本)9781424447947

A search and rescue (SAR) robot, named LUKER-I, is introduced to replace people to access to the accident scene when the underground gas and dust explosion happen under coal mine. The body of robot LUKER-I adopts tracked differential driven means, and has a fin arm tracked institutions. Robot can cross the barriers such as stairs, ditches, steep slopes and convex units based on different swing angle assistant. The control system uses two layers architecture, namely the bottom control network and IPC. IPC is mainly in charge of data acquisition, compression, and transmission of the voice and images of the scene. While the bottom layer uses CAN bus network to achieve the maintainability, expanded performance, and real-time control based on modular and distributed control. The working principle and design means of the robot are described detail in the paper. A modular method is used to carry out a detailed design.

关键词： control systems Mobile robots Layout Robot sensing systems Robotics and automation Accidents Explosions Data acquisition Image coding Distributed control

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An Efficient Hybrid Red Panda Optimization-Similarity-Navigated Graph Neural Network with Blockchain Technology for Shared Electric Vehicle Charging 4

An Efficient Hybrid Red Panda Optimization-Similarity-Naviga...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Sammy, F. Rajeshwari, S. Prashanth, G.K. Thirumalaimuthu, Babu Pokhariya, Hemant Singh Natrayan, L. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522 302 India Bangalore Institute of Technology Department of Mathematics Karnataka Bengaluru560004 India Siddaganga Institute Technology Department of Mca Karnataka Tumkur-572103 India St. Joseph's College of Engineering Department of Instrumentation and Control Engineering Tamil Nandu Chennai600119 India Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Saveetha School of Engineering Simats Department of Mechanical Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331540364

Blockchain technology for shared electric vehicle (EV) charging makes use of a distributed ledger in handling different transactions which promotes authenticity in charging. However, this technology can be non-scalable at times which slows down the transaction rates as the scale increases in an organization and may also demand high computational as well as energy requirements which increases the inefficiency of the total system, the operating expenses of EV charging station, costs of energy utilized for charging, cost of maintenance and cost of station infrastructure may prove to be a weakness, impacting the feasibility of infrastructure deployment and upkeep expenses of the charging stations. To overcome these drawbacks, this paper proposes a hybrid method for blockchain technology with shared EV charging. The proposed approach combines the use of the Red Panda Optimization (RPO) with Similarity-Navigated Graph Neural Network (SNGNN). Hence, it is named as hybrid RPO-SNGNN approach. Reducing the operating cost of EV charging position and maximizes the security efficiency is the main aim of the proposed approach. To optimize scheduling and resource allocation by finding efficient paths by RPO and predict future demand and user behaviour patterns by SNGNN. By then, the proposed model has been put into practice on the MATLAB work platform and contrasted with other existing methods. The proposed technique outperforms all existing techniques, including Fuzzy-based Cross Hierarchical Reinforcement Q Learning (FCHRQL), Non-Dominated Sorting Genetic Algorithm-Long Short-Term Memory Network (NSGA-II-LSTMN), and Ant Colony Optimization-Proximal Policy Optimization (ACO-PPO). The proposed method shows the operating cost of $550 and the security rate is 97%. From the result, the proposed approach operating cost is low and the security rate is high when compared to the existing approaches. © 2024 IEEE.

关键词： Charging stations

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Intelligent PID controller Based on Deep Reinforcement Learning

Intelligent PID Controller Based on Deep Reinforcement Learn...

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Robotics, control and Automation (ICRCA), International Conference on

作者： Yinhe Zhai Qiang Zhao Yinghua Han Jinkuan Wang Wenying Zeng College of Information Science and Engineering Northeastern University Shenyang China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738

PID control is still the most important and popular method in industrial control at present. PID control is easy to achieve and it can improve the steady-state performance and dynamic performance of the system. PID controller can be used for all objects, however, it has some problems with parameter adjustment and control effect. The proportional integral differential coefficient of PID control is fixed, and it can't change when disturbed, so the stability of the system will be affected. Moreover, PID control is prone to overshoot and can't be used in specific systems. Reinforcement learning (RL) algorithms have developed rapidly from discrete action to continuous action in recent years. It has aroused the high interest of researchers in the field of automatic control. RL control performs better in the degree of intelligence and dynamic performance, however, the steady-state performance is poor. The sensitive response of RL control will damage the actuator. In this paper, an adaptive PID controller based on deep reinforcement learning is proposed. By designing reward values, the desired control effect is described. In this way, an agent is trained to provide parameters to the PID controller in real time. It can improve the response speed of the system, suppress overshoot, and have a certain anti-disturbance ability by training the agent to achieve real-time PID parameter adjustment.

关键词： Training PI control Heuristic algorithms Industrial control Deep reinforcement learning Real-time systems Steady-state

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Periodic behaviors of a discretized twisting algorithm based sliding mode control system

Periodic behaviors of a discretized twisting algorithm based...

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International Workshop on Variable Structure Systems, VSS

作者： Yan Yan Xinghuo Yu Changyin Sun Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing China RMIT School of Electrical and Computer Engineering Melbourne VIC AU

In this paper, we show that Euler discretization of the sliding mode control system with twisting algorithm can lead to periodic behaviors. Bounds for periodic orbits are derived, which allow one to estimate the maximum chattering amplitude for a given value of the time step. It is shown that for certain parameter values, there exist arbitrarily long periodic orbits. Theoretical results are illustrated with simulation examples.

关键词： Orbits Trajectory Switches Sliding mode control Extraterrestrial measurements Educational institutions Clocks

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