Yiyi Zhao

ORCID: 0000-0002-8766-1383
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Research Areas
  • Opinion Dynamics and Social Influence
  • Distributed Control Multi-Agent Systems
  • Complex Network Analysis Techniques
  • Neural Networks Stability and Synchronization
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Evolutionary Game Theory and Cooperation
  • Adaptive Control of Nonlinear Systems
  • Cooperative Communication and Network Coding
  • Adaptive Dynamic Programming Control
  • Nonlinear Dynamics and Pattern Formation
  • Social Media and Politics
  • Advanced MIMO Systems Optimization
  • Underwater Vehicles and Communication Systems
  • Full-Duplex Wireless Communications
  • Wireless Communication Security Techniques
  • Advanced Wireless Communication Technologies
  • Misinformation and Its Impacts
  • Smart Grid Energy Management
  • Speech Recognition and Synthesis
  • Advanced Wireless Communication Techniques
  • Advanced X-ray Imaging Techniques
  • Digital Holography and Microscopy
  • Microgrid Control and Optimization
  • Adaptive optics and wavefront sensing
  • Optimal Power Flow Distribution

Ningxia Medical University
2025

Southwestern University of Finance and Economics
2016-2024

Minzu University of China
2024

Beijing Information Science & Technology University
2024

Sichuan University
2024

West China Hospital of Sichuan University
2024

Shijiazhuang University
2023

Shenyang Institute of Engineering
2023

Shenyang Jianzhu University
2022

Xi'an Institute of Optics and Precision Mechanics
2018-2020

We consider an amplify-and-forward (AF) cooperative diversity system where a source communicates with destination the help of multiple relay nodes. The conventional assumes all nodes participate, available channel and power resources equally distributed over This approach being clearly sub-optimal, we first present optimal allocation scheme to minimize outage probability for AF system. Next, propose new selection only one, "best" node is chosen participate in transmission. show that at...

10.1109/isit.2006.262002 article EN 2006-07-01

Cooperative diversity schemes significantly improve the performance of wireless networks by transmitting same information through several nodes. The amplify-and-forward (AF) relaying method is one most attractive cooperative due to its low complexity. Selection AF has recently been proven achieve order as and lower outage probability than all-participate relays. In this letter, we present an asymptotic analysis symbol error rates a selection network, compare it with conventional scheme

10.1109/lcomm.2006.060774 article EN IEEE Communications Letters 2006-11-01

A power–water network consists of power plants, water and coproduction which supply collectively. Heterogeneous plants generally have different costs when they produce power; thus, an optimization method should be employed to allocate the production tasks reduce total cost network. This study investigates a continuous-time distributed algorithm for economic dispatch problem conceptual model is first presented illustrate logical relationships within network, then, constrained nonlinear...

10.1109/tcns.2021.3104103 article EN IEEE Transactions on Control of Network Systems 2021-08-11

In this paper, from the perspective of opinion dynamics theory, we investigate interaction mechanism a group autonomous agents in an e-commerce community (or social network), and influence power leaders during formation opinion. According to opinion's update manner influence, paper divides within network into two subgroups: followers. Then, establish new bounded confidence-based dynamic model for followers simulate evolution agents. Through numerical simulations, further opinion,...

10.1016/j.ins.2017.10.031 article EN cc-by-nc-nd Information Sciences 2017-10-16

In this study, a finite-time velocity-free rendezvous control method is considered for multiple autonomous underwater vehicle (AUV) systems with intermittent undirected communication. First, we develop distributed observer each AUV to estimate its own state information. Second, design algorithm that utilizes the estimated information intermittently through communication network in absence of velocity measurement. A homogeneous used prove all AUVs group can achieve finite time communication,...

10.1109/tsmc.2022.3148295 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2022-02-09

Cooperative diversity improves the performance of wireless networks by having several nodes transmit same information. We present an outage probability analysis for a decode-and-forward system, valid at all signal to noise ratios (SNR). A closed form solution is obtained independent and identically distributed (i.i.d.) channels, two tight lower bounds are presented correlated channels.

10.1109/lcomm.2005.1496587 article EN IEEE Communications Letters 2005-08-01

In this paper, a bipartite consensus problem is considered for high-order multiagent system with unknown disturbances and cooperative-competitive interactions. Two control strategies are proposed to guarantee two cases without an exogenous (called leader simplicity), respectively. Linearly parameterized approaches applied describe the time-varying disturbances. Distributed adaptive laws then designed parameters in Adaptive controllers fully distributed fashion, which does not rely on any...

10.1109/tsmc.2017.2761362 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2017-10-25

Opinion dynamics focuses on the opinion evolution in a social community. Recently, some models of continuous under bounded confidence were proposed by Deffuant and Krause, et al. In literature, agents generally assumed to have homogeneous level. This paper proposes an extended model for group with heterogeneous levels. First, differentiation theory is introduced divided into subgroups distinct Second, multi-level formation formulated framework confidence. Finally, computer simulations are...

10.1371/journal.pone.0043507 article EN cc-by PLoS ONE 2012-09-19

This article investigates an output antisynchronization problem of multiagent systems by using input-output data-based reinforcement learning approach. Till now, most the existing results on problems required full-state information and exact system dynamics in controller design, which is always invalid practical scenarios. To address this issue, a new representation constructed just available input/output data from system. Then, novel value iteration algorithm proposed to compute optimal...

10.1109/tii.2021.3050768 article EN IEEE Transactions on Industrial Informatics 2021-01-13

A relay selection approach has previously been shown to outperform repetition-based scheduling for both amplify-and-forward (AF) and decode-and-forward (DF) cooperative networks. The method generally requires some feedback from the destination relays source, raising issue of interplay between performance rate. In this letter, we treat as an instance limited distributed beamforming in AF networks, highlight differences transmit a traditional multi-input single-output (MISO) system case....

10.1109/t-wc.2008.070675 article EN IEEE Transactions on Wireless Communications 2008-12-01
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