INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of ra...
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INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors.
作者：
Wang, Fei-YueChinese Acad Sci
Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
From January 1 to May 30, 2023, we have received 1214 submissions, averaging 8.09 submissions per day. Based on this SPD, we are on track to surpass our estimated 2500 submissions by November [1], [2]. This implies mo...
From January 1 to May 30, 2023, we have received 1214 submissions, averaging 8.09 submissions per day. Based on this SPD, we are on track to surpass our estimated 2500 submissions by November [1], [2]. This implies more work for processing and evaluation; therefore we need to speed up our effort to recruit more able and responsible Associate Editors and Reviewers. I need help from you in this task with great appreciation.
The traffic environment and driving behaviors are of great complexity and uncertainty in our physical world. Therefore, training in the digital world with low cost and diverse complexities become popular for autonomou...
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The traffic environment and driving behaviors are of great complexity and uncertainty in our physical world. Therefore, training in the digital world with low cost and diverse complexities become popular for autonomous driving in recent years. However, the current training methods tend to be limited to static data sets and deterministic models that do not sufficiently take into account the uncertainty and diversity prevalent in real traffic scenarios. These approaches also limit more possibilities for the comprehensive development and optimization of vision systems. In this paper, we develop a parallel training method based on artificial systems, computational experiments, and parallel execution (ACP) for the intelligent optimization and learning of the aforementioned agents in uncertain driving spaces. Parallel training creates a virtual driving space following the instruction of the ACP approach and conducts large-scale rehearsal experiments for possible scenarios. By enhancing the diversity of virtual scenarios, intelligent vehicles are trained to respond and adapt to the diverse uncertainties in the physical real-world driving space. Specifically, parallel training first proposes a standard operating procedure for intelligent driving systems, namely the projection-emergence-convergence-operation (PECO) loop. Digital quadruplets for parallel training, i.e., physical, descriptive, predictive, and prescriptive coaches, are also proposed. With the guidance of parallel training, virtual and real-world driving spaces are set up in parallel and interact frequently. They are closely linked and unified in opposition to each other, ultimately building a parallel driving system that fulfills safety, security, sustainability, sensitivity, service, and smartness (6S).
In the era of Industry 5.0 and the emerging metaverses, this study proposes Meta-Services, a novel paradigm that evolves a traditional service system into a multistage ecosystem. In the proposed paradigm, we develop a...
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In the era of Industry 5.0 and the emerging metaverses, this study proposes Meta-Services, a novel paradigm that evolves a traditional service system into a multistage ecosystem. In the proposed paradigm, we develop a parallel intelligence-based management framework that enables stakeholders to control and manage the complex dynamics of service delivery in the metaverse. The management framework involves the following three stages: 1) service systems in metaverses;2) elementary parallel service systems;and 3) parallel intelligence empowered ecosystems. The third stage evolves from the first two stages by incorporating the approach of "designer in the loop," contributing to more human-centered, adaptive, and resilient service systems. Moreover, a case study in the retail sector is provided to validate the effectiveness of the proposed paradigm and show its practical potential.
The current issue includes 3 perspectives, 2 letters and 17 regular papers. These perspectives explore critical issues within the field of IVs and propose prospective research directions based on the evolution of foun...
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The current issue includes 3 perspectives, 2 letters and 17 regular papers. These perspectives explore critical issues within the field of IVs and propose prospective research directions based on the evolution of foundation models. After Scanning the Issue, I would like to share insights on how Sora-based imaginative intelligence could propel the future development of IVs.
POWERED by the rapid development of Internet,the penetration of the Internet of Things,the emergence of big data,and the rise of social media,more and more complexsystems are exhibiting the characteristics of social,...
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POWERED by the rapid development of Internet,the penetration of the Internet of Things,the emergence of big data,and the rise of social media,more and more complexsystems are exhibiting the characteristics of social,physical,and information *** systems are known as cyber-physicalsocial systems(CPSS)[1],[2].These CPSS face unprecedented challenges in design,analysis,management,control and integration due to their involvement with human and social factors[3],[4].To cope with this challenge,there are two main approaches to CPSS research.
From Jan. 1 to Mar. 23, we have received 1735 submissions. The current average number of submissions per day (SPD) rate is 21.12 [1], [2]. However, such a vibrated SPD also indicates a tremendous workload for our edit...
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From Jan. 1 to Mar. 23, we have received 1735 submissions. The current average number of submissions per day (SPD) rate is 21.12 [1], [2]. However, such a vibrated SPD also indicates a tremendous workload for our editorial board. Therefore, I would like to expand our team to include at least 240 members. If you have suitable candidates for potential associate editors, please send a Short BioSketch and a Resume to feiyue@*** and danielyenew22@***.
The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the ne...
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The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’***,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is ***,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as *** equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention ***,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is ***,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different *** study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.
In this paper,the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play *** the condition where the Hamiltonia...
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In this paper,the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play *** the condition where the Hamiltonian formed by means of Pontryagin’s maximum principle has the unique solution,it can be proven that the iterative control law converges to the Nash equilibrium ***,the strong nonlinearity of the ordinary differential equations formulated by Pontryagin’s maximum principle makes the control policy difficult to figured *** the system dynamics employed in this manuscript contains a high dimensional state vector with *** practical applications,such as the control of aircraft,the provided overload is ***,in this paper,we consider the optimal strategy of pursuit-evasion games with constant constraint on the control,while some state vectors are restricted by the function of the *** address the challenges,the optimal control problems are transformed into nonlinear programming problems through the direct collocation ***,two numerical cases of the aircraft pursuit-evasion scenario are given to demonstrate the effectiveness of the presented method to obtain the optimal control of both the pursuer and the evader.
作者：
Yang, XiongWei, QinglaiTianjin Univ
Sch Elect & Informat Engn Tianjin Key Lab Intelligent Unmanned Swarm Techno Tianjin 300072 Peoples R China Chinese Acad Sci
Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
This article considers the robust dynamic event-driven tracking control problem of nonlinear systems having mismatched disturbances and asymmetric input constraints. Initially, to tackle the asymmetric constraints, a ...
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This article considers the robust dynamic event-driven tracking control problem of nonlinear systems having mismatched disturbances and asymmetric input constraints. Initially, to tackle the asymmetric constraints, a novel nonquadratic value function is constructed for the original system. This makes the asymmetrically constrained tracking control problem transformed into an unconstrained optimal regulation problem. Then, a dynamic event-driven mechanism is proposed. Meanwhile, the event-driven Hamilton-Jacobi-Bellman equation (ED-HJBE) is developed for the optimal regulation problem in order to acquire the optimal control with distinctly decreased computational burden. To solve the ED-HJBE, a single critic neural network (CNN) is designed in the adaptive dynamic programming framework. Meanwhile, the gradient descent method is employed to update the CNN's weights. After that, both the weight estimation error and the tracking error are proved to be uniformly ultimately bounded via Lyapunov's direct method. Finally, simulations of the spring-mass-damper system and the pendulum plant are separately utilized to validate the established theoretical claims.
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