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紀良浩

鎖定
紀良浩,男,工學博士,教授,博士生導師/碩士生導師,皇家墨爾本理工大學(RMIT)博士後,中國計算機學會高級會員,中國人工智能學會高級會員。 [2] 
中文名
紀良浩
國    籍
中國
民    族
漢族
出生地
湖北武漢
畢業院校
皇家墨爾本理工大學、重慶大學 [2] 
學位/學歷
博士/研究生
職    業
高校教師
主要成就
重慶市優秀教育科研成果獎二等獎
任職機構
重慶郵電大學

紀良浩基本簡介

湖北武漢人,工學博士/博士後,教授,博士生導師,皇家墨爾本理工大學(RMIT)博士後,中國計算機學會高級會員,中國人工智能學會高級會員。
主持、主研國家級、省部級科研項目10餘項,在各類國際著名期刊、旗艦會議上發表研究論文50餘篇。主編學術專著2部、教材1部,參編教材2部,獲得發明專利以及實用新型專利各1項,軟件成果登記1項;
榮獲重慶市優秀教育科研成果獎二等獎、校級科研成果獎二等獎、校級教學成果獎三等獎、校級課堂教學優秀獎、優秀教師等榮譽稱號。 [1] 

紀良浩科研項目

  • 複雜環境下合作競爭異質多智能體系統一致性協同與安全控制,國家自然科學基金面上項目(62276036), 2023.1-2026.12, 主持。
  • ▲合作-競爭異質多智能體系統分組一致協同演化研究,國家自然科學基金面上項目(61876200), 2018.1-2022.12,主持。
  • ▲面向“謠言-闢謠-促謠”博弈關係的社交網絡謠言信息傳播機制研究,國家自然科學基金面上項目(62072066), 2021.1-2024.12,主研。
  • ▲多智能體系統一致性協同優化與安全控制,重慶市教委科學技術研究項目-重大項目(KJZD-M20210060), 2021.7-2024.7,主持。
  • ▲基於事件觸發機制的多智能體系統脈衝一致性研究,國家自然科學基金面上項目(61673080), 已結題。
  • ▲大數據複雜任務的多粒度分解與聯合問題求解機制研究,國家自然科學基金面上項目(61572091),已結題。
  • ▲基於複雜關係的異質多智能體網絡的分組一致性動力學演化研究,重慶市基礎研究與前沿探索項目(cstc2018jcyjAX0112),已結題。
  • ▲多智能體複雜網絡的牽制一致性研究,重慶市教委科學技術研究項目(KJ1400403),已結題。
  • ▲多智能體網絡分組一致動力學行為分析與研究,重慶市基礎與前沿研究計劃項目(cstc2014jcyjA40047),已結題。 [1] 

紀良浩人物專著

  • ▲Second-Order Consensus of Continuous-Time Multi-Agent Systems,Academic Press,Elsevier,2021.3,ISBN: 978-0-323-90131-4.
  • ▲多智能體系統一致性協同演化控制理論與技術,科學出版社,2019年11月,ISBN: 978-7-03-062742-1。
  • ▲分佈式多智能體網絡一致性協調控制理論,科學出版社,2015年10月,ISBN:978-7-03-045753-0。 [2] 

紀良浩論文作品

  • ▲Fully Distributed Dynamic Event-Triggered Pinning Cluster Consensus Control for Heterogeneous Multi-Agent Systems with Cooperative-Competitive Interactions. IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2023.
  • ▲Primal-Dual Fixed Point Algorithms Based on Adapted Metric for Distributed Optimization, IEEE Trans. on Neural Networks and Learning Systems, 2023.
  • ▲A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization, IEEE Trans. on Signal and Information Processing over Networks, 2023.
  • ▲Decentralized Triple Proximal Splitting Algorithm With Uncoordinated Stepsizes for Nonsmooth Composite Optimization Problems, IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2022.
  • ▲Couple-group consensus of cooperative-competitive heterogeneous multi-agent systems: A fully distributed event-triggered and pinning control methods, IEEE Trans. on Cybernetics, 2022.
  • ▲Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems, IEEE Trans. on Signal and Information Processing over Networks, 2021.
  • ▲Couple-group consensus for cooperative-competitive heterogeneous multi-agent systems: hybrid adaptive and pinning methods, IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2021.
  • ▲A Distributed Stochastic Proximal-Gradient Algorithm for Composite Optimization, IEEE Trans. on Control of Network Systems, 2021.
  • ▲Group consensus for heterogeneous multi-agent systems in the competition networks with input time delays, IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2020.
  • ▲Exponential finite-time couple-group consensus for agents in cooperative-competitive networks via pinning method, Asian Journal of Control, 2023.
  • ▲Optimal antisynchronization control for unknown multiagent systems with deep deterministic policy gradient approach, Information Sciences, 2023.
  • ▲Initialization-free distributed prescribed-time consensus based algorithm for economic dispatch problem over directed network. Neurocomputing, 2023.
  • ▲Secured impulsive control for directed networks under denial-of-service attacks. Systems & Control Letters, 2023.
  • ▲Optimal Consensus Control for Multi-agent Systems: Multi-step Policy Gradient Adaptive Dynamic Programming Method, IET Control Theory & Applications, 2023.
  • ▲虛假數據注入攻擊下多智能體系統的均方二分一致性研究, 控制與決策,2023.
  • ▲Distributed Event-Triggering Algorithm with Uncoordinated Step Sizes for Economic Dispatch Problem over Unbalanced Directed Network, International Journal of Electrical Power and Energy Systems, 2023.
  • ▲Bipartite synchronization of multi-agent systems under deception attacks via pinning delayed-impulsive control. International Journal of Robust and Nonlinear Control, 2023.
  • ▲Optimal Group Consensus Control for the Second-Order Agents with Unknown Dynamics in the Cooperative-Competitive Networks via ADP and Event-Triggered Methods, Optimal control application and methods, 2022.
  • ▲DOS攻擊下一類二階多智能體系統的安全分組一致性研究, 控制與決策,2022.
  • ▲Optimal Couple-Group tracking Control for the Heterogeneous Multi-Agent Systems with Cooperative-Competitive Interactions via Reinforcement Learning Method, Information Sciences, 2022.
  • ▲ A decentralized Nesterov gradient method for stochastic optimization over unbalanced directed networks, Asian Journal of Control, 2022.
  • ▲Multi-group consensus for heterogeneous agents in cooperative-competitive networks via pinning and adaptive coupling weight methods, International Journal of Systems Science, 2022.
  • ▲Optimal Consensus Model-Free Control for Multi-Agent Systems Subject to Input Delays and Switching Topologies, Information Sciences, 2022.
  • ▲Finite Time Consensus Control for Nonlinear Heterogeneous Multi-agent systems With Disturbances, Nonlinear Dynamics, 2022.
  • ▲Distributed Economic Dispatch Control with Frequency Regulator for Smart Grid under Time-Varying Directed Topology, processes, 2022.
  • ▲Optimal Consensus Control for Unknown Second-Order Multi-Agent Systems:Using Model-Free Reinforcement Learning Method, Applied Mathematics and Computation, 2021.
  • ▲Dynamic group consensus for delayed heterogeneous multiagent systems in cooperative-competitive networks via pinning control, Neurocomputing, 2021.
  • ▲Fully distributed event-triggered pinning group consensus control for Heterogeneous multi-agent systems with Cooperative-competitive interaction strength, Neurocomputing, 2021.
  • ▲Optimal Consensus Control for Second-Order Discrete-Time Multi-Agent Systems: Using Online Policy Iteration Algorithm,SSCI, 2021.
  • ▲Finite-time consensus of nonlinear multi-agent systems via impulsive time window theory: a two-stage control strategy, Nonlinear Dynamics, 2021. [2] 

紀良浩研究方向

複雜網絡與複雜系統的協同控制理論與應用;
羣體智能。 [2] 
參考資料