no code implementations • 6 Mar 2024 • Shaoxuan Cui, Guofeng Zhang, Hildeberto Jardon-Kojakhmetov, Ming Cao
Afterward, we extend our results to non-homogeneous polynomial systems on non-uniform hypergraphs.
no code implementations • 5 Mar 2024 • Le Liu, Yu Kawano, Ming Cao
This insight enables us to use quantization intentionally as a means to achieve the seemingly conflicting two goals of maintaining control performance and preserving privacy at the same time; towards this end, we further investigate a dynamic stochastic quantizer.
no code implementations • 8 Jan 2024 • Shaoxuan Cui, Guofeng Zhang, Hildeberto Jardón-Kojakhmetov, Ming Cao
To be more precise, in this paper, we first extend the concept of a Metzler matrix to a Metzler tensor and then describe some useful properties of such tensors.
no code implementations • 11 Oct 2023 • Bangguo Yu, Hamidreza Kasaei, Ming Cao
In advanced human-robot interaction tasks, visual target navigation is crucial for autonomous robots navigating unknown environments.
no code implementations • 8 Aug 2023 • Chencheng Zhang, Hao Yang, Bin Jiang, Ming Cao
This paper investigates the flocking control of a swarm with a malicious agent that falsifies its controller parameters to cause collision, division, and escape of agents in the swarm.
no code implementations • 1 Jun 2023 • Shaoxuan Cui, Fangzhou Liu, Hildeberto Jardón-Kojakhmetov, Ming Cao
While conventional graphs only characterize pairwise interactions, higher-order networks (hypergraph, simplicial complex) capture multi-body interactions, which is a potentially more suitable modeling framework for a complex real system.
no code implementations • 28 Jan 2023 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
In the vector-field guided path-following problem, a sufficiently smooth vector field is designed such that its integral curves converge to and move along a one-dimensional geometric desired path.
1 code implementation • 13 Nov 2022 • Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin C. Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann
We assess the sensitivity score on a set of representative words in the test set using two classifiers trained for hospital readmission classification with similar performance statistics.
no code implementations • 15 Jun 2022 • Shaoxuan Cui, Fangzhou Liu, Hildeberto Jardón-Kojakhmetov, Ming Cao
This paper studies a discrete-time time-varying multi-layer networked SIWS (susceptible-infected-water-susceptible) model with multiple resources under both single-virus and competing multi-virus settings.
no code implementations • 15 Jun 2022 • Hassan Dehghani Aghbolagh, Mengbin Ye, Lorenzo Zino, Ming Cao, Zhiyong Chen
Empirical studies suggest a deep intertwining between opinion formation and decision-making processes, but these have been treated as separate problems in the study of dynamical models for social networks.
no code implementations • 25 May 2022 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
Accurately following a geometric desired path in a two-dimensional space is a fundamental task for many engineering systems, in particular mobile robots.
no code implementations • 22 May 2022 • Lulu Gong, Weijia Yao, Jian Gao, Ming Cao
Recently, an evolutionary game dynamics model taking into account the environmental feedback has been proposed to describe the co-evolution of strategic actions of a population of individuals and the state of the surrounding environment; correspondingly a range of interesting dynamic behaviors have been reported.
no code implementations • 7 Feb 2022 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
Furthermore, we show that there always exist \emph{non-path-converging trajectories} (i. e., trajectories that do not converge to the desired path) starting from the boundary of a ball containing the desired path in an $n$-dimensional Euclidean space where $n \ge 3$.
no code implementations • 8 Sep 2021 • Carlo Cenedese, Lorenzo Zino, Michele Cucuzzella, Ming Cao
Understanding how to effectively control an epidemic spreading on a network is a problem of paramount importance for the scientific community.
no code implementations • 16 May 2021 • Feng Huang, Ming Cao, Long Wang
In stochastic dynamic environments, team Markov games have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multi-agent systems.
no code implementations • 10 May 2021 • Lulu Gong, Ming Cao
The fast-slow dynamics of an eco-evolutionary system are studied, where we consider the feedback actions of environmental resources that are classified into those that are self-renewing and those externally supplied.
no code implementations • 18 Feb 2021 • Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao
In this paper, we study how to alleviate highway traffic congestion by encouraging plug-in hybrid and electric vehicles to stop at a charging station around peak congestion times.
no code implementations • 18 Feb 2021 • Lorenzo Zino, Mengbin Ye, Ming Cao
Through the establishment of analytical conditions and Monte Carlo numerical simulations, we shed light on the role of the coupling between opinion dynamics and decision-making, and of the network structure, in shaping the emergence of complex collective behavior in social systems.
Decision Making Social and Information Networks Multiagent Systems Systems and Control Systems and Control Dynamical Systems
no code implementations • 18 Feb 2021 • Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao
In this paper, we study how to alleviate highway traffic congestions by encouraging plug-in electric and hybrid vehicles to stop at charging stations around peak congestion times.
1 code implementation • 5 Aug 2020 • Mengbin Ye, Lorenzo Zino, Alessandro Rizzo, Ming Cao
The spreading dynamics of an epidemic and the collective behavioral pattern of the population over which it spreads are deeply intertwined and the latter can critically shape the outcome of the former.
no code implementations • 29 Jul 2020 • Feng Huang, Ming Cao, Long Wang
Interactions among individuals in natural populations often occur in a dynamically changing environment.
3 code implementations • 14 Oct 2016 • Yuri A. Kapitanyuk, Anton V. Proskurnikov, Ming Cao
In this paper we propose an algorithm for path following control of the nonholonomic mobile robot based on the idea of the guiding vector field (GVF).
Systems and Control Robotics Optimization and Control