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On variability of the mean inactivity time at random time

Statistical Papers 2025年第4期66卷 1-16页

作者： Lu, Bin Department of Mathematics Lanzhou Jiaotong University Lanzhou 730070 China Gansu Center for Fundamental Research in Complex Systems Analysis and Control Lanzhou Jiaotong University Gansu Lanzhou 730070 China

In this paper, we explore the mean inactivity time (MIT) with respect to an item at a random time. We demonstrate that the MIT at random times closely aligns with established measures of variability. Our findings include a decomposition result, which shows that the MIT, like other variability measures, can be represented using covariance. Additionally, under the proportional reversed hazard rates (PRH) model, we show that the MIT, depending on the proportionality parameter, includes Gini’s mean difference and cumulative Tsallis entropy as specific cases. And the empirical cumulative Tsallis entropy is also proposed to estimate the E(X(T)). © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Mean inactivity time Proportional reversed hazards (PRH) model Variability measures

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Six-Degree-of-Freedom Intelligent control of Hypersonic Flight Vehicle

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IEEE Transactions on Aerospace and Electronic systems 2025年

作者： An, Hao Wang, Yiming Zhong, Xinyu Ye, Yongfeng Harbin Institute of Technology Space Control and Inertial Technology Research Center National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin China

The six-degree-of-freedom control of hypersonic flight vehicle (HFV) faces great challenges due to complex aerodynamics, inherent couplings and multiple constraints. This paper investigates the six-degree-of-freedom guidance and attitude control problem for unpowered gliding HFV. The guidance loop is based on the predictor-corrector method with three improvements of intelligent prediction acceleration, path constraints accommodation and no-fly zones circumvention. To quickly respond to guidance commands, three attitude channels (i.e., roll, pitch and yaw) are completely decoupled by nonlinear dynamic inverse, based on which a high-performance low-complexity attitude controller is proposed. This benefits from the appropriate integration of barrier function and sliding mode control, while design conditions of three alternative performances (i.e., asymptotic, exponential and preset-time convergences) are discussed. Servo dynamics and physical constraints of aerodynamic control surfaces are also well handled. © 2025 IEEE.

关键词： Hypersonic vehicles

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Fully Distributed Output Regulation of Linear Discrete-Time Multi-Agent systems With Markov Switching Topology

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IEEE Transactions on Circuits and systems I: Regular Papers 2025年 1-9页

作者： Liu, Jiamin Li, Zhao-Yan Zhou, Bin Jimei University School of Science Xiamen361021 China Harbin Institute of Technology School of Mathematics Harbin150001 China Zhengzhou Research Institute of HIT Zhengzhou450000 China Harbin Institute of Technology Center for Control Theory and Guidance Technology Harbin150001 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin150001 China

This paper studies the stochastic cooperative output regulation problem for linear discrete-time multi-agent systems (MASs) with Markov switching topologies and communication/input delays. First, a moment stability criterion for an interconnected time-homogeneous Markov jump linear systems is builded. Then, based on the moment stability criterion, a fully distributed output regulation protocol is designed to solve the stochastic cooperative output regulation problem successively. Finally, a numerical simulation is provided to validate the efficiency of the designed protocol. © 2004-2012 IEEE.

关键词： Topology

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Finite-Time Consensus of Second-Order Multiagent systems With Input Saturation via Hybrid Sliding-Mode control

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IEEE Transactions on Automation Science and Engineering 2025年 22卷 14623-14632页

作者： Jiang, Xiaowei Jiao, Ranran Li, Bo Zhang, Xianhe Yan, Huaicheng China University of Geosciences School of Automation Wuhan430079 China Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Geodetection Technology Wuhan430074 China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai200240 China Anhui University of Finance and Economics School of Finance Bengbu233030 China Hubei Normal University School of Electrical Engineering and Automation Huangshi435002 China Ministry of Education East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China

This paper addresses the finite-time consensus (FTC) issue for second-order multi-agent systems (MASs) with nonlinear disturbances. To tackle the challenges posed by increasingly complex communication environments, an innovative integral sliding-mode surface is designed using event-triggered control. Furthermore, the study explores communication constraints between the leader and followers, employing impulsive control to facilitate communication only at specific intervals. A novel hybrid integral sliding-mode control protocol is advanced for the second-order MASs, which effectively eliminates the "Zeno phenomenon" and notably reduces both communication frequency and energy consumption, thereby enhancing overall communication efficiency. Ultimately, the efficacy of the put forward protocol is verified through simulation examples including comparison experiment. © 2004-2012 IEEE.

关键词： Protocols Sliding mode control Event detection Multi-agent systems Costs Training Topology Switches Sufficient conditions Stability analysis

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Dual and reduced-order observer based attack-free protocols for consensus of multi-agent systems with Markovian switching topologies

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systems and control Letters 2025年 202卷

作者： Gao, Tian-Yu Li, Zhao-Yan Zhou, Bin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin150001 China School of Mathematics Harbin Institute of Technology Harbin150001 China Zhengzhou Research Institute of HIT Zhengzhou450000 China

This paper studies the output feedback consensus problem of linear multi-agent systems with Markovian switching topologies. To avoid reconstructing the Markovian switching topologies during designing the observers or adding the state of the observers to the information exchange loop, dual and reduced-order observer based attack-free consensus protocols are proposed, which only utilizes the relative outputs of neighboring agents. It is shown that, under certain mild conditions, a necessary and sufficient condition for the solvability of the mean square consensus problem is that the union of switching topologies has a spanning tree. Finally, numerical examples are given to illustrate the effectiveness of the proposed approaches. © 2025 Elsevier B.V.

关键词： Markov processes

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Identifying the heat source of biomedical heat transfer from final measurement data in the biological thermal-wave diffusion model

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Journal of Thermal Biology 2025年 129卷 104128页

作者： Tie, Xu-Wei Deng, Zui-Cha School of Mathematics and Physics Lanzhou Jiaotong University Gansu Lanzhou 730070 China Gansu Center for Fundamental Research in Complex Systems Analysis and Control Lanzhou Jiaotong University Gansu Lanzhou 730070 China

This study investigates the inverse problem of spatial heat source identification in biomedical heat transfer. Departing from conventional parabolic biomedical heat transfer models, our research focuses on more sophisticated and clinically relevant hyperbolic models, which offer enhanced suitability for biomedical engineering applications. Firstly, the uniqueness of the heat source was proved through the energy variational approach. Subsequently, the inverse problem is reformulated as an optimal control problem by employing total variation regularization within the framework of optimal control theory. Theoretical contributions include rigorous proofs of the existence of optimal solutions and their corresponding necessary conditions, complemented by the establishment of criteria for solution uniqueness and stability. Building upon these theoretical foundations, we have developed an innovative gradient algorithm, the efficacy of which has been validated through comprehensive numerical experiments utilizing clinically relevant electromagnetic radiation tissue heat transfer parameters commonly encountered in hyperthermia treatments. © 2025 Elsevier Ltd

关键词： Biomedical heat transfer Gradient algorithm Heat source Inverse problem Numerical experiment Optimal solution

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A MPC-based Planner Applied on a Parallel Wheel-legged Robot for Obstacle Avoidance 25

A MPC-based Planner Applied on a Parallel Wheel-legged Robot...

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Proceedings of the 4th International Conference on Computer, Artificial Intelligence and control Engineering

作者： Fei Guo Huan Yu Wanhong Lin Shoukun Wang National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center Beijing China Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

ISBN: (纸本)9798400712647

A wheel-legged robot is equipped with Stewart parallel mechanism, constituting a reconfigurable robot which can change its wheelbase, robot body height, and achieve omnidirectional steering. The legged character effectively improves the terrain adaptability, which concerns our planning concentration. We introduced an optimization-based whole-body trajectory planning algorithm to navigate robot in rugged terrain. The planner combines terrain data and stability, allowing lower-level motion generator and controller to operate more efficiently. The Model Predictive control(MPC)-based method updates the footholds and CoG trajectories, which builds upon the support polygon constraints on optimization. The simulations of methodology working in several structure-obstacle scene demonstrated and compared the availability of approach.

关键词： Reconfigurable robot

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Adsorption of monolayer penta-CdSe2 by atoms: A first-principles study

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Journal of Physics and Chemistry of Solids 2025年 206卷

作者： Wei, Xiao-Ping Meng, Jiang-Liu Sun, Hao-Kai Zhang, Ya-Ling Tao, Xiaoma The School of Mathematics and Physics Lanzhou Jiaotong University Lanzhou730070 China Gansu Center for Fundamental Research in Complex Systems Analysis and Control Lanzhou Jiaotong University Gansu Lanzhou730070 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China College of Physical Science and Technology Guangxi University Nanning530004 China

Pentagonal CdSe2 is a theoretically predicted two-dimensional (2D) material with room-temperature stability, offers unique electronic and structural properties but remains unexplored in terms of adsorption-driven functionalization. Using first-principles density-functional theory calculations, we systematically investigate the adsorption of 14 atoms, including non-metals (H, C, N, O, F), alkali and alkaline-earth metals (Li, Na, K, Mg, Ca), and noble metals (Pd, Ag, Pt, Au)—on monolayer CdSe2. All adsorption processes are energetically favorable, with adsorption energies spanning −0.39 to −4.86 eV, where noble metals (e.g., Pt: 4.83 eV) and non-metals (e.g., C: 4.86 eV) exhibit the strongest binding. H, N, Li, Na, Ag, and Au adsorption induces ferromagnetism, with magnetic moments ranging 0.56–0.98 μB, transforming non-magnetic CdSe2 into a magnetic semiconductor or metal. F and K adsorption metallizes the system by reducing the bandgap from 1.48 eV (pristine) to 0.00 eV. Work function is tunable over 4.49–5.89 eV, with alkali metals significantly lowering work function, ideal for photoelectron emission. Charge transfer analyses reveal ionic bonding for F (−0.75 e) and covalent/metallic interactions for C, N, and O. These results demonstrate that targeted atomic adsorption enables precise control over CdSe2's electronic, magnetic, and surface properties, positioning it for applications in spintronics, catalysis, and energy storage. Our work bridges theoretical predictions with functional design, urging experimental validation of CdSe2 synthesis and adsorption engineering. © 2025 Elsevier Ltd

关键词： Local density approximation

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Crowd evacuation simulation in multi-agent based virtual environment

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2012 International Conference on Cybernetics and Informatics, ICCI 2012

作者： Cai, Linqin Zhang, Zhenhua Pan, Yuyou Wang, Na Research Center on Complex System Analysis and Control Chongqing University of Posts and Telecommunications Chongqing 400065 China

ISBN: (纸本)9781461438717

To explore crowd behaviors in coalmine emergency situations, a crowd evacuation simulation model was presented, which aims at the high-level decision-making skills and wayfinding algorithm to explore the leadership in underground emergency evacuation. In proposed evacuation model, leaders' and followers' behaviors were constructed according to their different roles and internal mental states. Leaders can explore coalmine environment for new paths using the proposed wayfinding algorithm to help others. The simulating results of underground fire evacuation case show the proposed approach is effective to create believable crowd behaviors in virtual coalmine. © 2013 Springer Science+Business Media.

关键词： Virtual reality

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Development of a neural network model for forecasting energy consumption in energy management systems

Development of a neural network model for forecasting energy...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Valeriya Tynchenko Ilia Panfilov Ksenia Degtyareva Natalia Kandaurova Tatyana Dolgova Artificial Intelligence Technology Scientific and Education Center Bauman Moscow State Technical University Moscow Russia Software Research and Training Laboratory Siberaim Federal Iniversity Krasnoyarsk Russia Information-Control Systems Department Reshetnev Siberian State University of Science and Technology Department of Systems Analysis and Operations Research Reshetnev Siberian State University of Science and Technology Krasnoyarsk Russia Center for Continuing Education Bauman Moscow State Technical University Moscow Russia Department of Information Economic System Reshetnev Siberian State University of Science and Technology Krasnoyarsk Russia

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

This paper explores the use of neural networks to predict energy consumption based on data on the production and use of various fuels, including oil, gas and coal. The aim of the study is to develop a model that can take into account the complex relationships between key parameters such as production volumes, production costs, CO₂ emissions, energy efficiency, inventory levels and transportation costs. The relevance of the study is due to the need to improve the accuracy of forecasting for effective planning and management of resources in the energy industry, especially in conditions of unstable market and environmental factors. In the course of the work, a multi-layered fully connected neural network model was developed, which was trained and tested on the prepared data. The evaluation of the model using the coefficient of determination and the average absolute error demonstrated its high accuracy and suitability for practical application. Additionally, an analysis of the importance of the signs was carried out, which showed that the most significant factors are the import/export of energy and the share of alternative sources. Visualization of the results confirmed that the model is able to make accurate predictions, minimizing errors. The results obtained confirm that the use of neural network models to predict energy consumption is a promising area that can significantly improve decision-making processes in the energy sector and increase resource efficiency.

关键词： Industries Energy consumption Analytical models Accuracy Costs Neural networks Production Predictive models Data models Forecasting

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