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Enhancing gait parameter analysis for Cerebral Palsy using Attention modules

Gait & Posture 2024年 113卷 225-226页

作者： John Bosco Uroko Donging Gu Haider Raza Liang Hu University of Essex School of Computer Science and Electronic Engineering Essex United Kingdom Harbin Institute of Technology Department of Automation- School of Mechanical and Electrical Engineering and Automation Shenzhen China

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Dynamic Event Triggering Control for Matching Uncertain Systems 11

Dynamic Event Triggering Control for Matching Uncertain Syst...

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11th International Forum on Electrical engineering and automation, IFEEA 2024

作者： Hong, Yishen Xue, Shan Xu, Bo Liu, Derong Wang, Yonghua School of Automation Guangdong University of Technology Guangzhou510006 China School of Information and Communication Engineering Hainan University Haikou570228 China School of Automation and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China University of Illinois Chicago Department of Electrical and Computer Engineering ChicagoIL60607 United States

ISBN: (纸本)9798331516611

In this paper, a new dynamic event-triggering (DET) adaptive dynamic programming (ADP) is developed to deal with the robust control problem of an uncertain system with the matching condition. First, this paper transforms the robust control problem of a nonlinear robust system into the optimal control problem of a nominal system by designing a suitable cost function. In order to improve resource utilization, the DET scheme has been developed. A single critic network approximates the unknown optimal cost function. Moreover, it is proven that the neural networks (NNs) weight estimation error and network weight are bounded. Finally, an experiment demonstrates that the DET algorithm has the best resource-saving effect while guaranteeing learning performance. © 2024 IEEE.

关键词： Cost functions

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On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System 63

On the Convergence of Policy Gradient for Designing a Linear...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Ye, Lintao Mitra, Aritra Gupta, Vijay Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China North Carolina State University Department of Electrical and Computer Engineering RaleighNC27695 United States Purdue University Elmore Family School of Electrical and Computer Engineering West LafayetteIN47906 United States

ISBN: (纸本)9798350316339

Policy gradient algorithms have been shown to converge to the optimal controller in a linear quadratic regulator (LQR) design problem. Calculating policy gradients using the true system such as for a robot may, however, be costly. We consider a formulation in which an ample number of gradient calculations from a proxy or approximate system such as a simulator are mixed with gradient calculations from the true system at a few time steps. Under the simplifying assumption of exact gradient calculation, we show that policy gradient in this framework can still converge to a neighborhood of the desired optimal controller. In this sense, it can reduce both the burden and cost of experimenting only on the true system and potentially obtain a less conservative controller than a purely robust control approach that relies only on the proxy system for designing the controller. © 2024 IEEE.

关键词： Robust control

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Channel Controlled ARQ Protocol Design for OCDM-Based Data Transmissions 13

Channel Controlled ARQ Protocol Design for OCDM-Based Data T...

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13th IEEE International Conference on CYBER Technology in automation, Control, and Intelligent Systems, CYBER 2023

作者： Qin, Wenxuan Zhang, Yechu Yan, Lei Zhang, Rongxin Wang, Yiyin School of Computer and Communication Engineering Northeastern University Qinhuangdao China School of Electronic Science and Engineering Xiamen University Xiamen China Shanghai Jiao Tong University Department of Automation Shanghai China

ISBN: (纸本)9798350315196

Channel controlled automatic retransmission request (CC-ARQ) has shown potential in reducing complexity and bit error rate (BER) in wireless links. In this paper, we design an ARQ protocol transmission scheme for OCDM-based data transmissions. By employing retransmission threshold design based on orthogonality deficiency (od) of the channel matrix, the data transmissions receiver can enjoy the enough diversity offered by the wireless OCDM links with linear equalizers, which is essential for low-complexity communication environments, e.g., sensor cyber systems. © 2023 IEEE.

关键词： Bit error rate

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Optimal Function Block Distribution for IEC 61499 Distributed Control Application

Optimal Function Block Distribution for IEC 61499 Distribute...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Vahid Ehteshami Bojnurdi Tuojian Lyu Udayanto Dwi Atmojo Valeriy Vyatkin Department of Electrical Engineering & Automation Aalto University Espoo Finland Department of Computer Science Computer and Space Engineering Lulea Tekniska Universitet Sweden

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

The efficient distribution of function blocks across programmable logic controllers (PLCs) is critical to improving the performance of distributed automation systems. This paper presents a novel randomized greedy optimization algorithm to minimize communication latency and maximize resource utilization by optimizing the allocation of function blocks across multiple PLCs in compliance with the IEC 61499 standard. Simulations demonstrate the effectiveness of the approach in achieving substantial performance improvements in distributed control applications. The results highlight the flexibility and scalability of the proposed optimization method, particularly in environments with varying PLC configurations.

关键词： Time-frequency analysis automation System performance Scalability Decentralized control Computational efficiency Resource management IEC Standards Optimization Standards

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Recent Developments in Event-Triggered Control of Nonlinear Systems:An Overview

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无人系统（英文） 2023年第1期11卷 27-56页

作者： Pengpeng Zhang Tengfei Liu Jie Chen Zhong-Ping Jiang Department of Control Science & Engineering Frontiers Science Center for Intelligent Autonomous SystemsTongji UniversityShanghai 201804P.R.China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819P.R.China Department of Electrical and Computer Engineering New York University370 Jay StreetBrooklynNY 11201USA

Event-triggered control is a most popular paradigm for transferring feedback information in an economical"as needed"*** study of event-triggered control can be traced back to the *** significant advances on the topic of control over networks and the topic of nonlinear control systems over the last two decades,event-triggered control has quickly emerged as a major theoretical subject in control *** of event-triggered control are wide-spread ranging from embedded control systems and industrial control processes to unmanned systems and cyber-physical transportation *** this paper,we first review developments in the synthesis of event-triggered sampling *** event triggering mechanisms,such as static event trigger,dynamic event trigger,time-regularized event trigger,and event trigger with positive threshold offsets,are systematically ***,we study how to design a stabilizing controller that is robust with respect to the sampling ***,we review some recent results in the directions of self-triggered control,event-triggered tracking control and cooperative control,and event-triggered control of stochastic systems and partial differential equation *** applications of event-triggered control are also discussed.

关键词： Event-triggered control event-triggered sampling mechanism event-triggered controller

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Blur-ASKNet: An Effective Network for Remote Sensing Image Classification Capturing Joint Features 4

Blur-ASKNet: An Effective Network for Remote Sensing Image C...

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4th International Conference on computer Vision, Image and Deep Learning, CVIDL 2023

作者： Liu, Tengfei Wang, Qi Hao, Guocheng School of Computer Science University of Geosciences Wuhan China China University of Geosciences Department of Automation Wuhan China China University of Geosciences Department of Communication Engineering China Wuhan China

ISBN: (纸本)9798350326444

Remote sensing image classification faces two major challenges: the intra-class variability and inter-class similarity. Consequently, it is more challenging for classification neural networks to extract discriminant features. While many studies have proposed solutions, they struggle to balance model performance with discriminant feature extraction. In this paper, we propose the Blur-ASKNet. The network can effectively capture both local and global features, referred to as joint features. The network employs blurpooling to handle intra-class variability, incorporates spatial and channel attention mechanisms for multiscale adaptive feature fusion, and introduces ASKM to extract joint features at both local and global levels. Additionally, it can be deployed on small and medium-sized systems to address inter-class similarity. We conducted comparative and ablation experiments on four typical remote sensing datasets to explore the differences between remote sensing and traditional images and evaluate individual modules of the proposed model. The model performance was subsequently measured. Experimental results demonstrate that the network achieved higher recognition accuracy than the state-of-the-art methods, while still maintaining acceptable complexity. © 2023 IEEE.

关键词： Remote sensing

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Detection of Perfect Stealthy Attacks on Cyber-Physical Systems Subject to Measurement Quantizations: A Watermark-Based Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information Science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of Computer Science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

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Bayes-Newton methods for approximate Bayesian inference with PSD guarantees

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2023年第1期24卷 3712-3761页

作者： William J. Wilkinson Simo Särkkä Arno Solin Department of Computer Science Aalto University Finland Department of Electrical Engineering and Automation Aalto University Finland

We formulate natural gradient variational inference (VI), expectation propagation (EP), and posterior linearisation (PL) as generalisations of Newton's method for optimising the parameters of a Bayesian posterior distribution. This viewpoint explicitly casts inference algorithms under the framework of numerical optimisation. We show that common approximations to Newton's method from the optimisation literature, namely Gauss-Newton and quasi-Newton methods (e.g., the BFGS algorithm), are still valid under this 'Bayes-Newton' framework. This leads to a suite of novel algorithms which are guaranteed to result in positive semi-definite (PSD) covariance matrices, unlike standard VI and EP. Our unifying viewpoint provides new insights into the connections between various inference schemes. All the presented methods apply to any model with a Gaussian prior and nonconjugate likelihood, which we demonstrate with (sparse) Gaussian processes and state space models.

关键词： approximate Bayesian inference optimisation variational inference expectation propagation Gaussian processes

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Balancing Control for Energy Storage Clusters Based on Cooperative Output Synchronization 6

Balancing Control for Energy Storage Clusters Based on Coope...

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6th International Conference on Power and Energy Technology, ICPET 2024

作者： Wang, Zengyong Wang, Xiao Xu, Weimao Wang, Chi Liu, Qing Gao, David Wenzhong School of Automation Wuhan University of Technology Wuhan China State Grid Liaoning Electric Power Company Shenyang China Department of Electrical and Computer Engineering University of Denver DenverCO United States

ISBN: (纸本)9798350375855

This paper investigates a distributed cooperative control strategy for large-scale heterogeneous energy storage devices aggregated to form a Virtual Storage Plant (VSP) that behaves in a similar fashion as centralized storage stations in terms of capacity and dynamic response capabilities. Similar to conventional energy storage facilities, maintaining a balanced state of charge is a critical goal for energy management within a VSP. Taking into account the dynamic models of energy storage systems and converters, we propose a synthesis method for designing homogeneous virtual external systems and output regulators within a multi-agent system framework. This approach enables the generation and tracking of consistent reference trajectories, ensuring that the VSP maintains a uniform internal state of charge while responding to external power commands. The effectiveness of the proposed control strategy is validated through Simulink simulation tests and further verified on a distributed control test platform set up in a real network environment. © 2024 IEEE.

关键词： Virtual storage

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