Article
Computer Science, Artificial Intelligence
Jia Chen, Gang Kou, Haomin Wang, Yiyi Zhao
Summary: In social networks, the influence of advertisement opinion leaders plays a crucial role in shaping followers' opinions. The study reveals that advertisement influence has a dual effect on opinion evolution, and the probability of information transmission by opinion leaders significantly impacts collective opinion evolution.
INFORMATION FUSION
(2021)
Article
Automation & Control Systems
Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao
Summary: This paper extends the theory of Markovian multi-agent opinion networks to the situation of multiple opinions. A canonical representation of multi-state Markov chains is defined to describe the behavior of non-interacting agents in terms of their prejudice. The time evolution of opinion shares in a social network is characterized in both transient and steady-state, providing insights into the sensitivity of network opinion to agents' prejudices.
Article
Mathematics, Interdisciplinary Applications
Shuyang Jiang, Hu Wang
Summary: The study constructs an opinion evolution model with agent emotional characteristics and credibility, finding that initial opinion distribution, network structure, and opinion leader have important impacts on group polarization formation; group polarization is easier to form in small-world networks and BA scale-free networks.
Article
Multidisciplinary Sciences
Samuel Stern, Giacomo Livan
Summary: This study investigates the impact of noise and topology on opinion diversity in social networks by extending well-established models of opinion dynamics to a stochastic setting. The general analytical expression derived from the model shows that opinion diversity decreases as communities and clusters are broken down. Testing predictions against empirical influence networks between major news outlets, incorporating the measure in linear models for sentiment expressed by sources yields a notable improvement in explanatory power.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Automation & Control Systems
Lixiao Geng, Shuran Yang, Ke Wang, Qi Zhou, Lisha Geng
Summary: Due to the complexity of social relationships, internet users are active in multiple social networks, which leads to the spread of public opinion beyond closed single networks. By considering the structural characteristics of WeChat, Weibo, and Tiktok, a multi-layer network is built based on complex network theory. The research explores the differences in information transmission between multi-layer networks and single-layer networks, and studies the effects of network structure and interlayer connection on information transmission. Through simulation and data collection, the study finds that multi-layer networks have higher efficiency, larger scale, and longer duration in public opinion transmission. This research provides new insights for the study of public opinion dissemination and guidance for relevant departments.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Guixun Luo, Zhiyuan Zhang, Sumeng Diao
Summary: User interaction plays a vital role in network public opinion formation, but the physical phenomena of individual interaction are difficult to describe and explain mathematically. By studying micro individuals and their interaction process, we found that friends with higher preference have a higher frequency of interaction compared to friends with lower preference. We established a mathematical model to describe user interaction behavior and analyzed its distribution and time characteristics through theoretical analysis, simulation experiments, and empirical analysis of Weibo data.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Cybernetics
Huiyu Min, Jiuxin Cao, Jiawei Ge, Bo Liu
Summary: The article presents a multiagent system for analyzing fine-grained opinion dynamics in online social networks. The system distinguishes between user opinion formation and propagation, and proposes agent-based mechanisms for both. It also utilizes multidimensional social influence features to train personalized agents. Experimental results demonstrate the effectiveness of the system in predicting agent opinions and simulating public opinion propagation. The MAS-FOD system provides a fine-grained analysis of opinion dynamics by adjusting different parameters.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Computer Science, Information Systems
Peide Liu, Yingxin Fu, Peng Wang, Xiaoming Wu
Summary: In this paper, a grey relational analysis and clustering-based opinion dynamics model is proposed to avoid the dominance of authoritative subgroups in social network group decision-making. By analyzing and clustering social relationships and opinion similarity, this model provides a strategy to weaken the influence of authoritative subgroups.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Yanni Tang, Jiamou Liu, Wu Chen
Summary: The formation of public opinions is a complex phenomenon that revolves around the aggregation of individuals' beliefs. In this paper, the role of personal experiences and beliefs in opinion dynamics is addressed through an agent-based model in a social network. The study highlights the importance of individual belief accuracy and social network structure in opinion formation.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Robert J. Bischoff, Cecilia Padilla-Iglesias
Summary: Archaeologists use social network analysis to understand past social interactions by studying material cultural remains. The ArchMatNet agent-based model was created to explore the relationship between archaeological networks and past social systems. It is a flexible model that can simulate various activities and dynamics, providing valuable information for users to make informed choices on parameter values.
PEERJ COMPUTER SCIENCE
(2023)
Article
Mathematics
Ningning Lang, Lin Wang, Quanbo Zha
Summary: This paper develops a game theoretical model to study marketing resource allocation in networks. The study shows that network structure can impact firm utility, and firms should allocate marketing resources based on consumers' initial opinions, beliefs, and network positions.
Article
Computer Science, Information Systems
Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
Summary: This paper investigates opinion dynamics in multi-agent networks with biases towards two possible opinions, exploring the combined effects of bias, network structure, and opinion dynamics on the convergence of the entire system of agents. Through analyzing a simple yet mathematically rich setting, it highlights a complex interplay between topology and underlying update rules.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Qinyue Zhou, Zhibin Wu
Summary: This paper adopts a multidimensional opinion dynamics model to study the opinion evolution of agents in multi-topic scenarios. The findings suggest that stubborn agents are as important as opinion leaders in the opinion formation process in the proposed model. Simulation results show that a lower proportion of stubborn agents and higher network connectivity can lead to a more compact final opinion space.
INFORMATION SCIENCES
(2022)
Article
Mathematics, Interdisciplinary Applications
Wei Zhang, Ulrik Brandes
Summary: The opinion individuals hold about circulating information moderates their spreading behavior, as they may choose to spread rumors they believe in and remain silent about those they do not. These opinions may be influenced by peers' opinions and observed behaviors. Researchers have developed a coupled dynamics model to study the interaction between opinion formation and information spreading, and have identified different spreading behaviors in different scenarios.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Automation & Control Systems
Carmela Bernardo, Claudio Altafini, Anton Proskurnikov, Francesco Vasca
Summary: The BCOD model proposed by Hegselmann and Krause has attracted wide interest as a dynamic network for opinion formation. The model considers interactions between agents based on the distance between their opinions, enriching the field of systems and control with novel mathematical tools. The study of BCOD models highlights phenomena that cannot be studied with traditional methods.
Article
Automation & Control Systems
Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
Summary: A path-following control algorithm ensures convergence of system trajectories to a given desired path. Control algorithms using a guiding vector field can guarantee almost global convergence, except for some trajectories that converge to the vector field's singular set. In this article, the guiding vector field is generalized to smooth Riemannian manifolds, and theoretical results are provided from a topological viewpoint regarding the existence of singular points and nonpath-converging trajectories.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Kathinka Frieswijk, Lorenzo Zino, Ming Cao
Summary: This article proposes a stochastic network model for the spread of common sexually transmitted infections (STIs), taking into account asymptomatic infected individuals and individuals' behavioral preferences. The research findings indicate that routine screening is crucial for controlling local outbreaks, while condom marketing campaigns are effective only when combined with screening.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
H. Ayoobi, H. Kasaei, M. Cao, R. Verbrugge, B. Verheij
Summary: The Local Hierarchical Dirichlet Process (Local-HDP) allows agents to learn independent topics for each category incrementally and adapt to the environment over time. It autonomously determines the number of topics for each category and uses online variational inference for fast posterior approximation. Experimental results show significant advantages in terms of accuracy, scalability, and memory efficiency compared to other state-of-the-art approaches.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Automation & Control Systems
Liangming Chen, Mingming Shi, Hector Garcia de Marina, Ming Cao
Summary: This article studies 2D formation stabilization and maneuvering of mobile agents governed by double-integrator dynamics. A carefully chosen set of angle constraints is used to achieve the desired angle rigid formation. Stabilization control law using local velocity and direction measurements is proposed. Formation maneuvering laws are also presented to guide the formation with desired translational velocity, orientation, and scale.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Automation & Control Systems
Liangming Chen, Ming Cao
Summary: This article establishes the concept and properties of angle rigidity for 3-D multipoint frameworks and designs control laws to stabilize angle rigid formations of mobile agents in 3-D. The article also investigates methods for constructing angle rigid frameworks and merging two angle rigid frameworks. Additionally, it studies the angle rigidity of convex polyhedra and utilizes the angle rigidity theory to design decentralized formation control strategies.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
E. Martirosyan, M. Cao
Summary: In this paper, the inverse problem in linear-quadratic zero-sum differential games is addressed. The goal is to evaluate an unknown cost function based on observed trajectories generated by a stationary linear feedback Nash equilibrium pair. A model-based algorithm is introduced to accomplish this task using the given trajectories, combining inverse optimal control and reinforcement learning methods. The algorithm employs gradient descent optimization extensively and its convergence and stability are analyzed. Simulation results demonstrate the effectiveness of the proposed algorithm.
SYSTEMS & CONTROL LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Xingwen Zheng, Amar M. Kamat, Ming Cao, Ajay Giri Prakash Kottapalli
Summary: Seals can detect prey up to 180 m away using their flow-sensing whiskers. The undulating morphology of their whiskers reduce vortex-induced vibrations, making them highly sensitive to biologically relevant flow stimuli. This study proposes a mathematical framework to accurately recreate the undulating geometry of harbor and grey seal whiskers. The research also reveals that grey seal whiskers have lower vortex-induced vibrations compared to harbor seal whiskers and a smooth cylinder, making them an ideal template for the biomimetic design of VIV-resistant underwater structures. Additionally, neighboring whiskers in an array influence each other, leading to increased vibrations and a possible signal-strengthening effect.
Article
Automation & Control Systems
Mengbin Ye, Brian D. O. Anderson
Summary: This letter proposes an epidemic model for competitive viruses spreading over a metapopulation network, and summarizes the properties of equilibria, convergence results, and stability conditions of the model. It also discusses open problems and extensions of the model.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Robotics
Weijia Yao, Hector Garcia de Marina, Zhiyong Sun, Ming Cao
Summary: In this article, the authors propose coordinating guiding vector fields to achieve the simultaneous guidance, navigation, and motion coordination of a team of robots. The desired motion coordination is achieved by controlling virtual coordinates between guiding vector fields. The authors provide rigorous mathematical guarantees for the distributed motion coordination and navigation of robots on paths or surfaces, backed by dynamical systems theory and Lyapunov theory. The proposed algorithm is scalable and validated through simulations and experiments.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Automation & Control Systems
Yifan Su, Zhaojian Wang, Ming Cao, Mengshuo Jia, Feng Liu
Summary: This article analyzes the convergence of the dual decomposition algorithm in distributed optimization when both communication asynchrony and subproblem solution inexactness exist. The interaction between asynchrony and inexactness slows down the convergence rate from O(1/k) to O(1/v/k). With a constant step size, the objective function value converges to a neighborhood of the optimal value, and the solution converges to a neighborhood of the optimal solution. The violation of constraints diminishes in O(1/ k). Numerical simulations validate the theoretical results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Robotics
Bin-Bin Hu, Hai-Tao Zhang, Weijia Yao, Jianing Ding, Ming Cao
Summary: In this article, a distributed guiding vector-field (DGVF) algorithm is proposed for a team of robots to form a spontaneous-ordering platoon moving along a predefined desired path in the n-dimensional Euclidean space. The algorithm eliminates singular points where vector fields vanish and governs robots to approach a closed and self-intersecting desired path. The interactions among neighboring robots and a virtual target robot enable the realization of the desired platoon with relative parametric displacements achieved in arbitrary ordering sequences. Rigorous analysis guarantees the global convergence of the platoon from any initial positions. Experimental validation and numerical simulations demonstrate the algorithm's effectiveness and robustness.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Chemistry, Multidisciplinary
Amar M. Kamat, Xingwen Zheng, Julian Bos, Ming Cao, Michael S. Triantafyllou, Ajay Giri Prakash Kottapalli
Summary: Seal whiskers have an undulating geometry that reduces vortex-induced vibrations (VIV) and aids in tracking prey. Research suggests that the wavelength-to-mean diameter ratio (lambda/Dm) of seal whiskers may have evolved to an optimal value of 4.5 to minimize VIV.
Article
Engineering, Multidisciplinary
Kathinka Frieswijk, Lorenzo Zino, Ming Cao
Summary: This study presents a novel multi-population temporal network model for the spread of recurrent epidemic diseases. The research suggests that vaccination campaigns can help reduce pressure on hospitals, but without effective testing campaigns, resurgent outbreaks may still occur. Additionally, the study highlights the negative impact of homophily on local outbreak control.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Xingwen Zheng, Amar M. Kamat, Ming Cao, Ajay Giri Prakash Kottapalli
Summary: Seal whiskers have remarkable hydrodynamic trail tracking capability with different natural frequencies. However, there has been no thorough experimental investigation of the natural frequencies of seal whiskers. In this study, a novel and low-cost methodology was developed using a 3D-printed MEMS cantilever sensor to measure the natural frequencies of seal whiskers.
2022 IEEE 35TH INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS CONFERENCE (MEMS)
(2022)
Article
Automation & Control Systems
Lulu Gong, Ming Cao
Summary: The fast-slow dynamics of eco-evolutionary systems with feedback actions of environmental resources are studied. It is found that although two drastically different types of resources are considered, the resulting closed-loop systems exhibit similar behavior, including equilibria and stability conditions. Further examination reveals that the global dynamic behaviors of the two types of closed-loop systems can be fundamentally different in terms of limit cycles.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Automation & Control Systems
Xiaoyu Luo, Chengcheng Zhao, Chongrong Fang, Jianping He
Summary: This paper investigates the problem of false data injection attacks in multi-agent dynamical systems and proposes FDI attack set selection algorithms to maximize the convergence error by finding the optimal subset of compromised agents.
Article
Automation & Control Systems
Nitin K. Singh, Abhisek K. Behera
Summary: In this paper, a twisting observer is proposed for robustly estimating the states of a second-order uncertain system. The observer approximates the unknown sign term for the non-measurable state with a delayed output-based switching function, and achieves the desired steady-state accuracy by controlling the delay parameter. The application of the observer to output feedback stabilization is also discussed.
Article
Automation & Control Systems
Alexander Aleksandrov
Summary: This paper investigates the absolute stability problem for positive Persidskii systems with delay, proposes a special construction method for diagonal Lyapunov-Krasovskii functionals, and derives a criterion for the existence of such functionals guaranteeing the absolute stability, as well as obtaining sufficient conditions for a family of time-delay Persidskii systems to construct a common diagonal Lyapunov-Krasovskii functional. The efficiency of the developed approaches is demonstrated through four examples.
Article
Automation & Control Systems
Noureddine Toumi, Roland Malhame, Jerome Le Ny
Summary: This paper addresses large multi-agent dynamic discrete choice problems using a linear quadratic mean field games framework. The model incorporates the features where agents have to reach a predefined set of possible destinations within a fixed time frame and running costs can become negative to simulate crowd avoidance. An upper bound on the time horizon is derived to prevent agents from escaping to infinity in finite time. The existence of a Nash equilibrium for infinite population and its epsilon-Nash property for a large but finite population are established. Simulations are conducted to explore the model behavior in various scenarios.
Article
Automation & Control Systems
Philippe Schuchert, Vaibhav Gupta, Alireza Karimi
Summary: This paper presents the design of fixed-structure controllers for the As2 and Asw synthesis problem using frequency response data. The minimization of the norm of the transfer function between the exogenous inputs and performance outputs is approximated through a convex optimization problem involving Linear Matrix Inequalities (LMIs). A general controller parametrization is used for continuous and discrete-time controllers with matrix transfer function or state-space representation. Numerical results show that the proposed data-driven method achieves performance equivalent to model-based approaches when a parametric model is available.
Correction
Automation & Control Systems
Zhijun Guo, Gang Chen
Article
Automation & Control Systems
Matteo Della Rossa, Thiago Alves Lima, Marc Jungers, Raphael M. Jungers
Summary: This paper presents new stabilizability conditions for switched linear systems with arbitrary and uncontrollable underlying switching signals. The study focuses on two specific settings: the robust case with completely unknown and unobservable active mode, and the mode-dependent case with controller depending on the current active switching mode. The technical developments are based on graph-theory tools and path-complete Lyapunov functions framework, enabling the design of robust and mode-dependent piecewise linear state-feedback controllers using directed and labeled graphs.
Article
Automation & Control Systems
Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, W. P. M. H. (Maurice) Heemels
Summary: This study investigates a scenario where a perturbed nonlinear system transmits its output measurements to a remote observer via a packet-based communication network. By designing both the observer and the local transmission policies, accurate state estimates can be obtained while only sporadically using the communication network.
Article
Automation & Control Systems
Jonas Krook, Robi Malik, Sahar Mohajerani, Martin Fabian
Summary: This paper proposes a method to synthesise controllers for cyber-physical systems subjected to disturbances, such that the controlled system satisfies specifications given as linear temporal logic formulas. The approach constructs a finite-state abstraction of the original system and synthesises a controller for the abstraction. It introduces the robust stutter bisimulation relation to account for disturbances and uncertainty, ensuring that related states have similar effects under the same controller. The paper demonstrates that the existence of a controller for the abstracted system implies the existence of a controller for the original system enforcing the linear temporal logic formula.
Article
Automation & Control Systems
Clement Chahbazian, Karim Dahia, Nicolas Merlinge, Benedicte Winter-Bonnet, Aurelien Blanc, Christian Musso
Summary: The paper derives a recursive formula of the Fisher information matrix on Lie groups and applies it to nonlinear Gaussian systems on Lie groups for testing. The proposed recursive CRLB is consistent with state-of-the-art filters and exhibits representative behavior in estimation errors. This paper provides a simple method to recursively compute the minimal variance of an estimator on matrix Lie groups, which is fundamental for implementing robust algorithms.
Article
Automation & Control Systems
Yiheng Fu, Pouria Ramazi
Summary: This study investigates the characteristics of decision fluctuations in heterogeneous populations and explores the uncertainties in imitation behavior. The findings are important for understanding the bounded rationality nature of imitation behaviors.
Article
Automation & Control Systems
Lars A. L. Janssen, Bart Besselink, Rob H. B. Fey, Nathan van de Wouw
Summary: This paper introduces a mathematical relationship between the accuracy of reduced-order linear-time invariant subsystem models and the stability and accuracy of the resulting reduced-order interconnected linear time-invariant model. This result can be used to directly translate the accuracy characteristics of the reduced-order subsystem models to the accuracy properties of the interconnected reduced-order model, or to translate accuracy requirements on the interconnected system model to accuracy requirements on subsystem models.
Article
Automation & Control Systems
Piyush Gupta, Vaibhav Srivastava
Summary: We study the optimal fidelity selection for a human operator servicing tasks in a queue, considering the trade-off between high-quality service and penalty due to increased queue length. By modeling the operator's cognitive dynamics and task fidelity, we determine the optimal policy and value function numerically, and analyze the structural properties of the optimal fidelity policy.
Article
Automation & Control Systems
Lukas Schwenkel, Alexander Hadorn, Matthias A. Mueller, Frank Allgoewer
Summary: In this work, the authors study economic model predictive control (MPC) in periodic operating conditions. They propose a method to achieve optimality by multiplying the stage cost by a linear discount factor, which is easy to implement and robust against online changes. Under certain assumptions, they prove that the resulting linearly discounted economic MPC achieves optimal asymptotic average performance and guarantees practical asymptotic stability of the optimal periodic orbit.
Article
Automation & Control Systems
Taher Ebrahim, Sankaranarayanan Subramanian, Sebastian Engell
Summary: We propose a robust nonlinear model predictive control algorithm for dynamic systems with mixed degrees of freedom. This algorithm optimizes both continuous and discrete manipulated variables, enhancing closed-loop performance. Our approach relies on a computationally efficient relaxation and integrality restoration strategy and provides sufficient conditions to establish recursive feasibility and guarantee robust closed-loop stability. The effectiveness of the approach is demonstrated through two nonlinear simulation examples.