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Computational power of tissue P systems for generating control languages

INFORMATION SCIENCES 2014年 278卷 285-297页

作者： Zhang, Xingyi Liu, Yanjun Luo, Bin Pan, Linqiang Anhui Univ Sch Comp Sci & Technol Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230039 Peoples R China Huazhong Univ Sci & Technol Sch Automat Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Peoples R China

Tissue P systems are a class of distributed and parallel models of computation inspired by the way of communication among living cells or between cells and their environment. In this work, we investigate the computational power of tissue P systems, where each rule is assigned either with a label chosen from an alphabet or with the empty label A. The sequence of labels of rules applied during a halting computation is defined as the result of the computation, and the set of all results computed by a given tissue P system is called a control language. We prove that tissue P systems with antiport rules of weight one and without symport rules characterize regular languages;tissue P systems with antiport rules of weight at most two (resp., symport rules of weight at most two) without symport rules (resp., antiport rules) are universal. Tissue P systems with antiport rules of weight one and symport rules of weight one are also proved to be universal. These results show that the rule complexity is crucial for tissue P systems to achieve a desired computational power. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Membrane computing Tissue P system Universality control language

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Resilient Secondary control and Stability Analysis for DC Microgrids Under Mixed Cyber Attacks

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2024年第2期71卷 1938-1947页

作者： Liu, Xiao-Kang Wang, Si-Qing Chi, Ming Liu, Zhi-Wei Wang, Yan-Wu Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China

Distributed control technology has significantly improved the regulation of dc microgrid systems. However, it also introduces potential cyber-security threats during the communication process. In particular, the system is vulnerable to two types of attacks: denial-of-service (DoS) and false data injection (FDI) attacks. If both attacks occur simultaneously, they can destabilize the dc microgrid and jeopardize its safe operation. To ensure system stability under mixed DoS and unbounded FDI attacks, a consensus-based secondary control strategy is proposed. This strategy includes an adaptive feedback term to counteract FDI signals in the presence of DoS attacks. The stability of the system is rigorously analyzed using the Lyapunov method. Finally, numerical and experimental tests confirm the effectiveness of the proposed strategy.

关键词： Direct current (dc) microgrid (MG) denial-of-service (DoS) attack false data injection (FDI) attack resilient control

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An effective approach with feasible space decomposition to solve resource-constrained project scheduling problems

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AUTOMATION IN CONSTRUCTION 2017年 75卷 1-9页

作者： Liu, Zhenyuan Yang, Liu Deng, Raoyi Tian, Jing Huazhong Univ Sci & Technol Coll Automat Wuhan 430074 Peoples R China Educ Minist Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China

Resource-constrained project scheduling problem is a classic problem in construction project. Aimed at solving this problem, an effective approach with decomposition on time windows is proposed in this paper. This approach is to select one activity to do decomposition arid to partition the feasible space of the original problem into some feasible subspaces, in which solutions are generated by using an extended serial scheduling scheme. Double justification is also performed in the process of searching in subspace. Four strategies for selecting activity to do decomposition, three strategies for decomposition and a strategy on sampling size in various Subspaces are designed. The results of experiments on two real construction projects show that the strategy based on degree for selecting activity and the strategy based on initial schedule for decomposition can obtain the best results. When compared with some other exiting algorithms, it is proven that the decomposition-based approach is effective and competitive. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Project scheduling Decomposition-based approach Extended serial scheduling scheme Double justification Construction management

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ANN based three-value logic SVPWM control in CSR

ANN based three-value logic SVPWM control in CSR

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Xu, Jinbang Shen, Anwen Wu, Zhizhuo Yang, Jun Yang, Xuan Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Technology Huazhong University of Science and Technology 430074 Wuhan China

ISBN: (纸本)9781424464388

To achieve better performance with various load and system parameters in controlling a current-source rectifier (CSR) with less computing cost, a neural-network-based implementation of three-logic space-vector modulation (SVM) is proposed in this research, and the random weight change (RWC)algorithm is employed for on-line parameter tuning. The scheme has been simulated in SABER simulation software and the result is compared with the conventional SVM method. The advantage of the method is explicit with a better performance under a non-rated system load. © 2010 IEEE.

关键词： Vector spaces

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Memristive Hopfield neural network with multiple controllable nonlinear offset behaviors and its medical encryption application

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CHAOS SOLITONS & FRACTALS 2024年 183卷

作者： Leng, Xiangxin Wang, Xiaoping Zeng, Zhigang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Mini Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Hubei Key Lab Brain inspired Intelligent Syst Wuhan 430074 Peoples R China

Memristors possess inherent nonlinearity and synaptic attributes, rendering them more suited for integration as synapses within neural networks compared to resistors. Furthermore, their utilization induces significant alterations in the dynamic behavior of neural networks, hence bestowing considerable value in the realm of secure communication applications. In this paper, an improved cosine memristor is proposed, three representative memristor Hopfield neural networks (MHNNs) are constructed using it as synapse. The MHNNs exhibit rich initial offset boost behaviors, we summarize these phenomena into four types based on the offset characteristics. In particular, these offset types can be converted by adjusting internal parameters of the memristor. In addition, the MHNNs are constructed and tested using both software and hardware components, validating the accuracy of theoretical simulation and the implementation of systems. Ultimately, a set of bitplane level medical image encryption algorithm is proposed on the basis of MHNNs, which has excellent encryption performance and can effectively protect the privacy of patients.

关键词： Offset boost behavior Hopfield neural network controllable offset Memristor Medical image encryption

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ANN-based control method implemented in a Voltage Source Converter for industrial Micro-Grid

ANN-based control method implemented in a Voltage Source Con...

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6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011

作者： Xu, Jinbang Wu, Zhizhuo Yang, Xuan Ye, Jie Shen, Anwen Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Technology Huazhong University of Science and Technology 430074 Wuhan China

ISBN: (纸本)9780769545141

With more and more attention on the grid current harmonic in recent years, many control schemes of the Pulse Width Modulation Voltage Source Converter (PWMVSC) have been investigated. Conventional PI controller has shown limitations such as sensitivity to load and system parameter variation. Even the stability of the system can be threatened under a large and sudden load change. In this paper, the practical situation of a VSC for industrial Micro Grid (MG) is considered and an Artificial neural network (ANN) based control method is employed to solve the problem. Meanwhile, an on-line parameter tuning algorithm is introduced for its advantage of self-tuning and system character identification. The proposed control scheme is verified through simulation based on SABER software. The simulation results have shown the advantage of the proposed method and the performance of the parameter tuning session. © 2011 IEEE.

关键词： Neural networks

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FSM model and analysis for reconfigurable protocol stack in networked control system

FSM model and analysis for reconfigurable protocol stack in ...

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Chen, Hui Zhou, Chunjie Ma, Jie Qing, Yuanqing Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Techonolgy Wuhan Hubei 430074 China

ISBN: (纸本)9781424451951

The protocol stack plays a critical role in determining the performance of networked control system (NCS), which governs the communication activities and directly affects the communication quality of service (QoS). Full or partial reconfiguration of protocol stack offers both optimized communication service and system performance. This paper proposes a finite state machines (FSMs) approach for modeling analysis of reconfiguration protocols stack in NCS. The proposed reconfiguration architecture is implemented by illustrating a simulation for the flexible scheduling scheme on the Ethernet protocol. Detail FSM implement modules for composing node models of master and salve are discussed respectively in OPNET environment. The simulation results validate the effective of our architectural concepts on the protocol implementation in NCS. © 2010 IEEE.

关键词： Networked control systems

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DeNet: An explicit distance ensemble model for person re-identification 3

DeNet: An explicit distance ensemble model for person re-ide...

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3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

作者： Wang, Jin Gao, Changxin Hu, Jing Sang, Nong Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Automation Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781479961009

In this paper, we address the problem of person reidentification (re-id), which remains to be challenging due to view point changes, pose variations, different camera settings, etc. Different from common methods that concatenate descriptors extracted from different support regions and feature channels directly as a long vector, we encode the importance of different feature channels and support regions explicitly and propose a two-layer distance ensemble model called DeNet to measure the similarity between two images. The first layer of DeNet combines distances of different support regions while the second layer weights different feature channels. Weight parameters of DeNet are learnt under the large margin framework with the goal of maximizing the difference between distances of positive and negative matching pairs. Our method achieves very competitive results on the widely used VIPeR and PRID 450S datasets. © 2015 IEEE.

关键词： Computers

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Personalized Human Activity Recognition Based on Integrated Wearable Sensor and Transfer Learning

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SENSORS 2021年第3期21卷 885-885页

作者： Fu, Zhongzheng He, Xinrun Wang, Enkai Huo, Jun Huang, Jian Wu, Dongrui Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China

Human activity recognition (HAR) based on the wearable device has attracted more attention from researchers with sensor technology development in recent years. However, personalized HAR requires high accuracy of recognition, while maintaining the model's generalization capability is a major challenge in this field. This paper designed a compact wireless wearable sensor node, which combines an air pressure sensor and inertial measurement unit (IMU) to provide multi-modal information for HAR model training. To solve personalized recognition of user activities, we propose a new transfer learning algorithm, which is a joint probability domain adaptive method with improved pseudo-labels (IPL-JPDA). This method adds the improved pseudo-label strategy to the JPDA algorithm to avoid cumulative errors due to inaccurate initial pseudo-labels. In order to verify our equipment and method, we use the newly designed sensor node to collect seven daily activities of 7 subjects. Nine different HAR models are trained by traditional machine learning and transfer learning methods. The experimental results show that the multi-modal data improve the accuracy of the HAR system. The IPL-JPDA algorithm proposed in this paper has the best performance among five HAR models, and the average recognition accuracy of different subjects is 93.2%.

关键词： human activity recognition (HAR) wearable device air pressure sensor inertial measurement unit (IMU) transfer learning

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Value of resilience-based solutions on critical infrastructure protection: Comparing with robustness-based solutions

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2019年第0期190卷 106506-000页

作者： Min, Ouyang Chuang, Liu Min, Xu Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Hubei Peoples R China Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

Additional consideration of recovery rapidity makes resilience-based solutions on critical infrastructure protection conceptually more advantageous than robustness-based solutions, but existing studies have not uncovered how large their differences could be. By considering a pre-event protection strategy frequently adopted both in practice and in the literature, i.e., protecting or retrofitting a set of weak components under a limited budget, this paper introduces four mathematical models and their solution algorithms for exactly identifying the optimal robustness-based and resilience-based protection strategies for critical infrastructure systems against worst-case malicious attacks and natural hazards, respectively. By comparing with the optimal robustness-based protection strategy, the value of resilience-based solution is then quantified by how much the system resilience can be improved and how much the system loss can be mitigated. Taking the electric power transmission system in Shelby County, USA as an example, results show that the optimal resilience-based solutions improve the worst-case system resilience by at most 1.29% and reduce the worst-case system loss by at most 13.25%, and enhance the seismic resilience by at most 0.16% and mitigate the system loss by at most 5.27% under seismic hazards at a 2% probability of being exceeded in 50 years. Other model parameters and several other systems are also investigated.

关键词： Critical infrastructure protection Robustness Resilience Worst-case malicious attack Natural hazards

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