World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5309
World Ranking
4960
National Ranking
225

Overview

Zhan Shu is affiliated with the University of Alberta in Canada and has a significant body of work spanning engineering and computer science. Their research focuses primarily on control and systems engineering, with notable contributions to computer networks and communications as well as artificial intelligence.

The scientist's main research topics include:

  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Neural Networks Stability and Synchronization
  • Adaptive Dynamic Programming Control
  • Adaptive Control of Nonlinear Systems

Zhan Shu has published extensively in various academic venues, with frequent publications in the following journals and conferences:

  • Automatica
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Automatic Control
  • International Journal of Robust and Nonlinear Control
  • IFAC-PapersOnLine

Among recent papers, the following stand out:

  • "Distributed Prescribed-Time Interval Bipartite Consensus of Multi-Agent Systems on Directed Graphs: Theory and Experiment," 2020, IEEE Transactions on Network Science and Engineering
  • "Resilient Output Formation-Tracking of Heterogeneous Multiagent Systems Against General Byzantine Attacks: A Twin-Layer Approach," 2023, IEEE Transactions on Cybernetics
  • "Stability Analysis of Delayed Discrete Singular Piecewise Homogeneous Markovian Jump Systems With Unknown Transition Probabilities via Sliding-Mode Approach," 2023, IEEE Transactions on Automatic Control
  • "Model-free optimal control of discrete-time systems with additive and multiplicative noises," 2022, Automatica
  • "Charging station layout planning for electric vehicles based on power system flexibility requirements," 2023, Energy

Zhan Shu collaborates frequently with several researchers, the most recurrent coauthors being:

  • Tongwen Chen
  • Tingwen Huang
  • Xin Gong
  • Yukang Cui
  • Li Deng

The research output reflects broad engagement with topics involving multi-agent systems, resilience to cybernetic attacks, stability analysis with uncertain system parameters, and practical applications such as electric vehicle infrastructure planning. The work integrates theoretical foundations with experimental validation across distributed systems and control frameworks.

Best Publications

  • Passivity-Based Asynchronous Control for Markov Jump Systems

    Zheng-Guang Wu;Peng Shi;Zhan Shu;Hongye Su

  • Positive Observers and Dynamic Output-Feedback Controllers for Interval Positive Linear Systems

    Zhan Shu;J. Lam;Huijun Gao;Baozhu Du

  • Analysis and optimisation for inerter-based isolators via fixed-point theory and algebraic solution

    Yinlong Hu;Michael Z.Q. Chen;Zhan Shu;Lixi Huang

  • Consensus of Multiagent Systems Using Aperiodic Sampled-Data Control

    Yuanqing Wu;Hongye Su;Peng Shi;Zhan Shu

  • Robust H∞ control of descriptor discrete-time markovian jump systems

    James Lam;Zhan Shu;Shengyuan Xu;El-Kébir Boukas

  • ℓ1-induced norm and controller synthesis of positive systems

    Xiaoming Chen;James Lam;Ping Li;Zhan Shu

  • Passive vehicle suspensions employing inerters with multiple performance requirements

    Yinlong Hu;Michael Zhi Qiang Chen;Zhan Shu

  • H∞ control of Markov jump time-delay systems under asynchronous controller and quantizer

    Ying Shen;Zheng-Guang Wu;Peng Shi;Zhan Shu

  • Brief paper: Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach

    Zhan Shu;James Lam;Junlin Xiong

  • Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design

    Hong Lin;Hongye Su;Zhan Shu;Zheng-Guang Wu

  • $H_{\infty}$ Positive Filtering for Positive Linear Discrete-Time Systems: An Augmentation Approach

    Ping Li;James Lam;Zhan Shu

  • $\mathcal H_{\infty }$ Control for 2-D Markov Jump Systems in Roesser Model

    Zheng-Guang Wu;Ying Shen;Peng Shi;Zhan Shu

  • Robust stabilization of Markovian delay systems with delay-dependent exponential estimates

    Zhan Shu;James Lam;Shengyuan Xu

  • Passivity-based non-fragile control for Markovian jump systems with aperiodic sampling

    Yuan-Qing Wu;Hongye Su;Renquan Lu;Zheng-Guang Wu

  • A delay-partitioning projection approach to stability analysis of continuous systems with multiple delay components

    Baozhu Du;James Lam;Zhan Shu;Zidong Wang

  • Exponential estimates and stabilization of uncertain singular systems with discrete and distributed delays

    Zhan Shu;James Lam

  • Non-Fragile Exponential Stability Assignment of Discrete-Time Linear Systems With Missing Data in Actuators

    Zhan Shu;J. Lam;Junlin Xiong

  • Stability Analysis of Continuous-Time Switched Systems With a Random Switching Signal

    Junlin Xiong;James Lam;Zhan Shu;Xuerong Mao

  • A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems

    Jun Song;Yugang Niu;James Lam;Zhan Shu

  • Brief paper: Stabilization for state/input delay systems via static and integral output feedback

    Baozhu Du;James Lam;Zhan Shu

  • Decay rate constrained stabilization of positive systems using static output feedback

    Jun-e Feng;James Lam;Ping Li;Zhan Shu

Frequent Co-Authors

James Lam
James Lam University of Hong Kong
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Hongye Su
Hongye Su Zhejiang University
Peng Shi
Peng Shi University of Adelaide
Shengyuan Xu
Shengyuan Xu Nanjing University of Science and Technology
Michael Z. Q. Chen
Michael Z. Q. Chen Nanjing University of Science and Technology
Suleiman M. Sharkh
Suleiman M. Sharkh University of Southampton
Richard H. Middleton
Richard H. Middleton University of Newcastle Australia
Baoyong Zhang
Baoyong Zhang Nanjing University of Science and Technology
Ligang Wu
Ligang Wu Harbin Institute of Technology

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