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International Conference on Data Mining and Intelligent Information Technology Applications (ICMiA)

作者： Kehe Wu Fubao Fan Cheng Duan School of Control and Computer Engineering North China Electric Power University Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China

As the social consumption of power and the development of power industry is increasing with years, the accurate and efficient investment evaluation of grid is an important issue faced by the grid corporation. This paper designs and implements the investment evaluation system for grid by adopting the Flex and visual configuration techniques based on the research of grid corporation investment evaluation business.

关键词： Visualization Investments Flexible printed circuits Databases Layout Engines Containers

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Efficacy of Local Cache for Performance Improvement of Reliable Data Transmission in Aggregated Robot Processing Architecture

Efficacy of Local Cache for Performance Improvement of Relia...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Abdul Jalil Jun Kobayashi Department of Computer Science and Systems Engineering Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan Department of Intelligent and Control Systems Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan

This study aims to improve the performance of message data transmission in Aggregated Robot Processing (ARP) architecture where the RELIABLE option of the RELIABILITY QoS (Quality of Service) policy is applied to a ROS 2 (Robot Operating System 2) node communication. Basically, the RELIABLE option guarantees that a publisher properly send all message data to a subscriber. However, the publisher could fail to transmit some message data to the subscriber even in the RELIABLE QoS option unless the buffer size of the publisher is enough. We introduce local cache to a sensing component to alleviate the issue in the case that the sensors output the same value in a row. The experimental results showed that the local cache improved the latency and reduced the message loss in node communication.

关键词： Performance evaluation Operating systems Process control Quality of service Robot sensing systems control systems Sensors

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Load frequency regulation of two-area system consisting of PV grid and thermal non-reheated model

Load frequency regulation of two-area system consisting of P...

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Electrical engineering and Automation (IFEEA), International Forum on

作者： Mohammed. A. Abdalla Guotian Yang Mouhamed Niasse School of Control and Computer Engineering North China Electric Power University Beijing China School of Electrical and Electronical Engineering North China Electric Power University Beijing China

Due to limited damping, under critical and dynamically changing loading circumstances, the electrical power system penetrated with renewable energy sources (RES) is a complex nonlinear system that regularly causes substantial variations in tie-line active power and frequency. The power system's generation-demand equilibrium point moves as a result of a contingency, making it more difficult to reestablish a tolerable equilibrium point using common control techniques. The interesting capabilities of capacitive energy storage units (CES) combined with sophisticated control methods provide a noteworthy solution to improve network damping and enhance frequency regulation. The Gravitational Search Algorithm (GSA) is used in this work to optimize the tuning of an Active Disturbance Rejection control (ADRC) regulator for LFC of a two-area hybrid system comprising a photovoltaic (PV) system, a thermal non-reheating system, and CES. To efficiently tune the controller settings, the GSA-ADRC method constructs and fixes a time-domain-based objective function. Based on settling times and other indicators, our proposed GSA-ADRC controller is compared to Firefly Algorithm-PI controller and Genetic Algorithm-PI controller inside a test system configuration with and without CES. The results of our simulations demonstrate that the proposed GSA-ADRC controller, combined with CES, outperforms the selected benchmark PI controllers.

关键词： Damping Robust control Renewable energy sources PI control Regulators Thermal loading Time-domain analysis

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Simultaneous Optimization of Damping and Tracking controller Parameters via Selective Pole Placement for Enhanced Positioning Bandwidth of Nanopositioners

Simultaneous Optimization of Damping and Tracking Controller...

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American control Conference

作者： Douglas Russell Andrew J. Fleming Sumeet S. Aphale Centre for Applied Dynamics Research School of Engineering University of Aberdeen UK Centre for Complex Dynamic Systems and Control School of Electrical Engineering and Computer Science University of Newcastle Australia

ISBN: (纸本)9781479932757

Positive Velocity and Position Feedback (PVPF) is a widely used control scheme in lightly damped resonant systems with collocated sensor actuator pairs. The popularity of PVPF is due to the ability to achieve a chosen damping ratio by repositioning the poles of the system. The addition of a necessary tracking controller causes the poles to deviate from the intended location and can be a detriment to the damping achieved. By designing the PVPF and tracking controllers simultaneously, the optimal damping and tracking can be achieved. Simulations show full damping of the first resonant mode whilst also achieving bandwidth greater than the natural frequency of the plant, allowing for high speed scanning with accurate tracking.

关键词： Damping Nanopositioning Frequency response Bandwidth Frequency measurement Gain Resonant frequency

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Collaborative Stacked Denoising Auto-Encoders for Refining Student Performance Data

Collaborative Stacked Denoising Auto-Encoders for Refining S...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Ye Fan Yuan Sun Shiwei Ye Pan Liao Guiping Su Yi Sun School of Electrical and Electronic Engineering School of Computer and Control Engineering University of Chinese Academy of Sciences China Information and Society Research Division National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781728102085;9781728102078

The Cognitive modelling can discover the latent skills of students for predicting their performance on each problem and formulate personalized remedy recommendation. However, Uncovering precise student performance data without noise is a difficult task. In order to solve this problem, this paper proposes a method based on auto-encoder to refine student response data, which can obtain response data without noise. We combine educational hypotheses to the model by adding Q matrix constraint in it. Further, The experimental results show that our proposed method has better performance in refining the original student response data.

关键词： Noise reduction Data models Matrix decomposition Collaboration computer aided instruction

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Disturbance Rejection and Set-point Following of Periodic Signals Using Predictive control with Constraints

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IFAC Proceedings Volumes 2008年第2期41卷 10892-10897页

作者： Liuping Wang Peter J Gawthrop Discipline of Electrical Energy and Control Systems School of Electrical and Computer Engineering RMIT University Melbourne Victoria 3000 Australia Centre for Systems and Control and Department of Mechanical Engineering University of Glasgow GLASGOW. G12 8QQ Scotland

This paper proposes a continuous-time model predictive control design for disturbance rejection and set-point following of periodic signals. By assuming input disturbance in the form of sinusoid, the periodic frequency is embedded into the design model. Hence, from internal model principle, the steady-state error of the model predictive control system is ensured to be zero for both disturbance rejection and set-point following. Furthermore, with the design framework of model predictive control, hard constraints on the derivative and amplitude of the control signals are imposed as part of the performance specification. Simulation studies have been used to show the efficacy of the design with or without hard constraints.

关键词： Periodic set-point signal periodic disturbance predictive control constrained control optimization

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Quantized control for stochastic system

Quantized control for stochastic system

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Chinese control Conference (CCC)

作者： Li Wei Huanshui Zhang Minyue Fu School of Control Science and Engineering Shandong University Jingshi Road Jinan 17923 China School of Electrical Engineering and Computer Science The University of Newcastle NSW 2308 Callaghan Australia

This paper considers the coarsest quantization control problem. Different from the previous works [4] where the systems are restricted to be deterministic, we focus on the feedback quantization control for general stochastic systems with multiplicative noises. It is showed that the coarsest quantizer that stabilize the multiplicative-noise stochastic system in mean square sense is logarithmic, and the quantization density of which is larger than the results obtained in [4] for deterministic systems for the deterioration of multiplicative noises. Also, we explore that the solvability of the quantizer density is related to a special stochastic linear control problem.

关键词： Quantization Noise Stochastic systems Feedback control Lyapunov methods Riccati equations

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Structural and functional connectivity of the whole brain and subnetworks in individuals with mild traumatic brain injury:predictors of patient prognosis

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Neural Regeneration Research 2024年第7期19卷 1553-1558页

作者： Sihong Huang Jungong Han Hairong Zheng Mengjun Li Chuxin Huang Xiaoyan Kui Jun Liu Department of Radiology The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Department of Computer Science Aberystwyth UniversityAberystwythCeredigionUK Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhenGuangdong ProvinceChina School of Computer Science and Engineering Central South UniversityChangshaHunan ProvinceChina Department of Radiology Quality Control Center of Hunan ProvinceChangshaHunan ProvinceChina Clinical Research Center for Medical Imaging of Hunan Province ChangshaHunan ProvinceChina

Patients with mild traumatic brain injury have a diverse clinical presentation,and the underlying pathophysiology remains poorly *** resonance imaging is a non-invasive technique that has been widely utilized to investigate neuro biological markers after mild traumatic brain *** approach has emerged as a promising tool for investigating the pathogenesis of mild traumatic brain injury.G raph theory is a quantitative method of analyzing complex networks that has been widely used to study changes in brain structure and ***,most previous mild traumatic brain injury studies using graph theory have focused on specific populations,with limited exploration of simultaneous abnormalities in structural and functional *** that mild traumatic brain injury is the most common type of traumatic brain injury encounte red in clinical practice,further investigation of the patient characteristics and evolution of structural and functional connectivity is *** the present study,we explored whether abnormal structural and functional connectivity in the acute phase could serve as indicators of longitudinal changes in imaging data and cognitive function in patients with mild traumatic brain *** this longitudinal study,we enrolled 46 patients with mild traumatic brain injury who were assessed within 2 wee ks of injury,as well as 36 healthy ***-state functional magnetic resonance imaging and diffusion-weighted imaging data were acquired for graph theoretical network *** the acute phase,patients with mild traumatic brain injury demonstrated reduced structural connectivity in the dorsal attention *** than 3 months of followup data revealed signs of recovery in structural and functional connectivity,as well as cognitive function,in 22 out of the 46 ***,better cognitive function was associated with more efficient ***,our data indicated that small-worldness in the acute sta

关键词： cognitive function cross-section follow-up functional connectivity graph theory longitudinal study mild traumatic brain injury prediction small-worldness structural connectivity subnetworks whole brain network

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Linear Estimation for Discrete-time Systems with Markov Jump Delays

Linear Estimation for Discrete-time Systems with Markov Jump...

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Chunyan Han Huanshui Zhang Minyue Fu School of Control Science and Engineering Shandong University Jingshi Road 73 Jinan 250061 China School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 A

This paper is concerned with the linear minimum mean square error (MMSE) estimation for discrete-time systems with random delays in the observations. It is assumed that the delay process is modeled as a finite state Markov chain and only its transition probability matrix is known. To overcome the difficulty of estimation caused by random delays, the random delay system is firstly rewritten as a constant delay system with multiplicative noises. By applying the measurement reorganization approach, the system is further transformed into the delay-free one with Markov jump parameters. Then the estimator is derived by using the innovation analysis method in the Hilbert space, and the solution is given in terms of Riccati difference equations.

关键词： Markov processes Delay Estimation Covariance matrix Technological innovation Difference equations

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Lazy Probabilistic Roadmaps Revisited

arXiv

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arXiv 2022年

作者： Ramirez, Miquel Selvaratnam, Daniel Manzie, Chris School of Electric and Electronic Engineering University of Melbourne Australia Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

This paper describes a revision of the classic Lazy Probabilistic Roadmaps algorithm (Lazy PRM), that results from pairing PRM and a novel Branch-and-Cut (BC) algorithm. Cuts are dynamically generated constraints that are imposed on minimum cost paths over the geometric graphs selected by PRM. Cuts eliminate paths that cannot be mapped into smooth plans that satisfy suitably defined kinematic constraints. We generate candidate smooth plans by fitting splines to vertices in minimum-cost path. Plans are validated with a recently proposed algorithm that maps them into finite traces, without need to choose a fixed discretization step. Trace elements exactly describe when plans cross constraint boundaries modulo arithmetic precision. We evaluate several planners using our methods over the recently proposed BARN benchmark, and we report evidence of the scalability of our approach. Copyright © 2022, The Authors. All rights reserved.

关键词： Combinatorial optimization

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