Search Results for author: Ming Cao

Found 22 papers, 3 papers with code

On discrete-time polynomial dynamical systems on hypergraphs

no code implementations6 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.

Design of Stochastic Quantizers for Privacy Preservation

no code implementations5 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.

Privacy Preserving Quantization

On Metzler positive systems on hypergraphs

no code implementations8 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.

Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation using Large Language Models

no code implementations11 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.

Flocking control against the malicious agent

no code implementations8 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.

General SIS diffusion process with indirect spreading pathways on a hypergraph

no code implementations1 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.

The Domain of Attraction of the Desired Path in Vector-field Guided Path Following

no code implementations28 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.

Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction

1 code implementation13 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.

Decision Making Language Modelling +1

Coevolutionary Dynamics of Actions and Opinions in Social Networks

no code implementations15 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.

Decision Making

Discrete-time Layered-network Epidemics Model with Time-varying Transition Rates and Multiple Resources

no code implementations15 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.

Guiding Vector Fields for Following Occluded Paths

no code implementations25 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.

Collision Avoidance

Limit Cycles Analysis and Control of Evolutionary Game Dynamics with Environmental Feedback

no code implementations22 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.

Topological Analysis of Vector-Field Guided Path Following on Manifolds

no code implementations7 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 $n \ge 3$.

Optimal policy design to mitigate epidemics on networks using an SIS model

no code implementations8 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.

Model Predictive Control

Robust optimal policies for team Markov games

no code implementations16 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.

Decision Making

Different Environment Feedback in Fast-slow Eco-evolutionary Dynamics

no code implementations10 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.

Highway Traffic Control via Smart e-Mobility -- Part II: Dutch A13 Case Study

no code implementations18 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.

Highway Traffic Control via Smart e-Mobility -- Part I: Theory

no code implementations18 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.

A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems

no code implementations18 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

Game-theoretic modeling of collective decision-making during epidemics

1 code implementation5 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.

Decision Making

Learning enables adaptation in cooperation for multi-player stochastic games

no code implementations29 Jul 2020 Feng Huang, Ming Cao, Long Wang

Interactions among individuals in natural populations often occur in a dynamically changing environment.

A guiding vector field algorithm for path following control of nonholonomic mobile robots

3 code implementations14 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

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