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On string languages generated by spiking neural P systems with exhaustive use of rules

Natural Computing 2008年第4期7卷 535-549页

作者： Zhang, Xingyi Zeng, Xiangxiang Pan, Linqiang Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China

We continue the study of (extended) spiking neural P systems with exhaustive use of rules by considering these computing devices as language generators. Specifically, a step is associated with a symbol according to the number of spikes emitted by the output neuron and the sequence of these symbols associated with a halting computation constitutes a string. Two cases are considered: one of them interprets a step when no spike is emitted as a specified symbol, the other interprets such a step as the empty string. In both cases, it is proved that finite and recursively enumerable languages are characterized by extended spiking neural P systems working in the exhaustive mode. The relationships with regular languages are also investigated. © Springer Science+Business Media B.V. 2008.

关键词： Membrane computing Register machine SN P systems

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Predicating Candidate Cancer-Associated Genes in the Human Signaling Network Using Centrality

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CURRENT BIOINFORMATICS 2016年第1期11卷 87-92页

作者： Liu, Xueming Pan, Linqiang Huazhong Univ Sci & Technol Sch Automat Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

The development of cancer evolves gene mutations according to the somatic mutation theory. The identification and prediction of the cancer-associated genes is one of the most important aims in cancer research. We apply four centrality metrics (degree, betweenness, closeness and PageRank) to prioritize and predict the candidate cancer-associated genes in the human signaling network. We find that the genes with higher centrality scores are more likely to be cancer-associated. Taking the top 47 genes for each centrality measure, we get 89 central genes. Among these 89 central genes, 58 genes are known to be cancer-associated, 4 genes encode non-protein and 27 genes are inferred genes. For the 27 inferred genes, by literature mining we find that 21 genes have been confirmed to be cancer-associated and the other 6 genes (CAMP, GSK3A, MTG1, GNGT1, ISGF3G and DYT10) are strong candidates for cancer research. These results show that the four centrality metrics are effective in predicting candidate cancer-associated genes for further experimental analysis.

关键词： Human signaling network cancer-associated gene systems biology complex network centrality PageRank betweeness

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Event-Triggered H∞ control for Fuzzy Two-Time-Scale Systems

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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2024年第4期32卷 2211-2222页

作者： Yu, Tian-Tian Wang, Yan-Wu Lei, Yan Liu, Xiao-Kang Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

This article focuses on the H-infinity control for nonlinear two-time-scale systems with event-triggered mechanisms. Utilizing the Takagi-Sugeno fuzzy model, it is feasible to represent nonlinear two-time-scale systems as fuzzy two-time-scale systems. Event-triggered state feedback control strategy is designed for achieving the H-infinity performance, which inevitably leads to the asynchronous phenomenon of the premise variables between continuous time and triggering instants. Under the consideration of the asynchronous phenomenon, based on a H-infinity-dependent Lyapunov function, the fuzzy composite state feedback controller gains and the event-triggered parameters are codesigned in the form of linear matrix inequalities, and the upper bound of H-infinity is provided as well. Furthermore, the proposed event-triggered mechanism ensures the exclusion of Zeno behavior. Finally, simulation results including comparison studies are shown to demonstrate the effectiveness of the proposed control strategy.

关键词： Asynchronous phenomenon event-triggered H-infinity control fuzzy two-time-scale system LMI

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Clearance of flight control law based on H-infinity theory

Clearance of flight control law based on H-infinity theory

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Dong, Shuai Wang, Zhishen Liu, Lei Ou, Liuli Wang, Yongji Key Lab for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan China

ISBN: (纸本)9780956715715

The H approach is used for the clearance of flight control laws when some parameters in the flight control system vary in a certain range. The proposed H approach is developed from general H theory and is applied to the clearance of a flight control law for a missile. Based on bounded real lemma, two theorems about clearance are deduced, and the clearance problem is transformed to a general linear matrix inequality problem. A BTT missile is chosen as an example to test the proposed method. The simulation result shows that the proposed method is convenient and efficient. © 2012 Huazhong Univ of Sci & Tec.

关键词： Flight control systems

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Multiconsensus of Second-Order Multiagent Networks via Pulse-Modulated Intermittent control

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COMPLEXITY 2020年第1期2020卷

作者： Chi, Ming Wang, Xu-Long He, Ding-Xin Liu, Zhi-Wei Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

This paper studies the multiconsensus problem of multiagent networks based on sampled data information via the pulse-modulated intermittent control (PMIC) which is a general control framework unifying impulsive control, intermittent control, and sampling control. Two kinds of multiconsensus, including stationary multiconsensus and dynamic multiconsensus of multiagent networks, are taken into consideration in such control framework. Based on the eigenvalue analysis and algebraic graph theory, some necessary and sufficient conditions on the feedback gains and the control period are established to ensure the multiconsensus. Finally, several simulation results are included to show the theoretical results.

关键词： Eigenvalues and eigenfunctions

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On String Languages Generated by Sequential Numerical P Systems

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FUNDAMENTA INFORMATICAE 2016年第4期145卷 485-509页

作者： Zhang, Zhiqiang Wu, Tingfang Pan, Linqiang Huazhong Univ Sci & Technol Sch Automat Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

Numerical P systems are a class of P systems inspired both from the structure of living cells and from economics. In this work, we further investigate the generative capacity of numerical P systems as language generators. The families of languages generated by non-enzymatic, by enzymatic, and by purely enzymatic (all programs are enzymatic) numerical P systems working in the sequential mode are compared with the language families in the Chomsky hierarchy. Especially, a characterization of recursively enumerable languages is obtained by using purely enzymatic numerical P systems working in the sequential mode.

关键词： Formal Language Computational Power Register Machine String Language Numerical P System Sequential

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Finite-control-set model predictive control scheme of three-phase four-leg back-to-back converter-fed induction motor drive

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IET ELECTRIC POWER APPLICATIONS 2017年第5期11卷 761-767页

作者： Zhou, Dehong Zhao, Jin Liu, Yang Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ China Sch Automat Wuhan Peoples R China

The three-phase four-leg back-to-back converter-fed induction motor drive with only eight switches has the capability of variable-frequency speed control and bidirectional power flow. It can provide the benefit of higher reliability and less cost in comparison with the full-bridge back-to-back converter. On the other hand, the four-leg backto- back converter can be utilised in fault-tolerant control to solve open-circuit fault occurring at both rectifier and inverter leg in a full-bridge back-to-back converter. However, the deviation of the two capacitor voltages which will lead to variation of voltage vectors in both amplitude and phase angle hinders its applications. This study proposes a control scheme based on finite-control-set model predictive control to remedy this disadvantage. With the proposed scheme, capacitor voltage deviation is suppressed. Bidirectional power flows and balanced input and output currents are achieved. The effectiveness of the proposed scheme is verified by the experimental results presented.

关键词： induction motor drives machine control angular velocity control predictive control power convertors frequency control load flow control rectifiers invertors electric current control set theory finite-control-set model predictive control scheme three-phase four-leg back-to-back converter-fed induction motor drive variable-frequency speed control bidirectional power flow fault-tolerant control open-circuit fault rectifier leg inverter leg balanced input currents balanced output currents

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Instance-Based Feature Pyramid for Visual Object Tracking

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2022年第6期32卷 3774-3787页

作者： Pi, Zhixiong Shao, Yuanjie Gao, Changxin Sang, Nong Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

The deep learning based methods have improved the visual tracking precision significantly. However, the background distraction and the high precise localization remain challenging problems. Despite that some methods have fused the deep and shallow layer features to solve these problems, the existing fusion methods, like simply concatenating or adding the features from the different layers, cannot take the advantage of both the deep and shallow layer features fully. In this paper, we propose a new adaptive feature fusion method, called the instance-based feature pyramid (IBFP) to obtain the discriminative high-resolution feature, which not only inherits the discriminative information from the deep layer feature, but also keeps the high precision localization information of the shallow layer feature. For utilizing the deep and shallow features effectively, we design an instance-based upsampling (IBU) module to fuse them, and a compressed space channel selection (CSCS) module to re-weight the feature channels adaptively. We insert the IBU and CSCS modules in the Siamese tracker for end-to-end training and testing. By using the proposed IBU and CSCS modules, we fuse the deep and shallow features in a series manner. Experiments on large-scale benchmark datasets demonstrate that the proposed modules boost the capabilities of distinguishing the targets and the similar distractors and perform favorably against the state-of-the-art.

关键词： Siamese tracker feature fusion visual tracking

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Attainability Analysis for Entry Vehicles Based on Differential Evolution

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MATHEMATICAL PROBLEMS IN ENGINEERING 2014年第1期2014卷 1-8页

作者： Chang, Songtao Wang, Yongji Liu, Lei Wei, Xing Huazhong Univ Sci & Technol Sch Automat Minist Educ Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China

Attainable region provides crucial information on mission planning of entry vehicles. In order to obtain it, a series of nonlinear optimal control problems which have similar formulations are needed to be solved. However, it is difficult to compute due to severe nonlinearity of the dynamics and various constraints. In this paper, a novel method is established to generate the attainable region at the end of the entry phase. It utilizes the parallel feature of differential evolution ( DE) and the high accuracy of Chebyshev polynomial interpolation. By using the Chebyshev polynomial interpolation, the original problem is transformed to several nonlinear programming problems to facilitate employing DE. Each individual in DE's population represents a candidate point on the boundary of the attainable region. In order to lead the population to the boundary simultaneously, a scheme is devised by exploiting the parallel feature of DE. Different from conventional methods which generate one point of the boundary in each run, our proposed method generates one side of the boundary of the attainable region. A scenario is presented to evaluate the designed method and some analyses are conducted to evaluate the influence of the vehicle's design parameters on the attainable region.

关键词： VEHICLES DIFFERENTIAL evolution (Computer science) CHEBYSHEV polynomials OPTIMAL control theory NONLINEAR systems

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Deep learning with multiple scale attention and direction regularization for asset price prediction

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EXPERT SYSTEMS WITH APPLICATIONS 2021年 186卷 115796-115796页

作者： Xu, Fucui Tan, Shan Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

Forecasting the stock price is a challenging task due to its complex dynamic behaviors, affected by long-term trends, seasonal changes, cyclical changes, and irregular changes. Although many deep learning techniques have been applied to stock price forecasting, few of them have a deep insight into these complex behaviors. In this work, we propose a four-step hybrid model, named ESTA-Net, to adaptively extract these behavior patterns for stock price forecasting. Firstly, the empirical mode decomposition is applied to decompose a closing price sequence into intrinsic mode functions (IMFs). The goal of this step is to extract multiple quasi-stationary features of different time scales from the historical closing price sequence. Secondly, each IMF is modeled and forecasted by a temporal attention long short term memory (TALSTM) network. The TALSTM network is designed to capture the long term dependency of each IMF. Thirdly, the learned deep representations of IMFs are fed into a scale attention network (SANet), which adaptively selects relevant deep representations of multiple time scale features extracted from the historical price sequence. Finally, these learned deep features are fed into a fully connected layer to predict the future closing price. In addition, to make the proposed model learn the movement direction of the closing price, we propose a novel regularization term, i.e. the direction regularization term, to train the proposed model. This regularization term measures the inconsistency between the predicted movement direction and the actual movement direction of the closing price. Experiments show that the proposed model significantly outperforms benchmark models. Particularly, on seven financial market indices, the proposed model with the direction regularization term achieves the highest POCID (32.04% higher than that of CNN) and the lowest MAPE (37.36% lower than that of DA-RNN).

关键词： Asset price prediction Deep representations Scale attention mechanism Direction priori information

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