Peng Cheng | Cyber Attacks | Best Researcher Award

Dr. Peng Cheng, Cyber Attacks, Best Researcher Award

Doctorate at Shanghai Jiao Tong University, China

Dr. Peng Cheng is a Ph.D. student in Control Science and Engineering at Shanghai Jiao Tong University, China, and a visiting research scholar at Nanyang Technological University, Singapore. His research focuses on cyber-security, networked control systems, Two-dimensional systems, Markov jump systems, and fault detection. Dr. Cheng has received prestigious awards such as the Zhang Liangqi Scholarship of Shanghai Jiao Tong University in 2023 and the Excellent Master’s Degree Thesis Award from the Chinese Association of Automation (CAA) in 2022. He actively contributes to the academic community by serving as a reviewer for various international journals.

Profile:

Education:

Dr. Peng Cheng is currently pursuing a Ph.D. degree in Control Science and Engineering at Shanghai Jiao Tong University, China.

Professional Experience:

Dr. Peng Cheng has a strong background in control science and engineering, with a focus on cyber-security, networked control systems, Two-dimensional systems, Markov jump systems, and fault detection. He is currently pursuing a Ph.D. degree in Control Science and Engineering at Shanghai Jiao Tong University, China, under the supervision of Weidong Zhang. Additionally, he is serving as a visiting research scholar at Nanyang Technological University, Singapore, in the field of Electrical and Electronic Engineering under the guidance of Gaoxi Xiao. Dr. Cheng’s research interests and academic achievements reflect his dedication to advancing knowledge in control systems and contributing valuable insights to the scientific community through his publications and review activities in prestigious international journals.

Research Interest:

Cyber-Security in Control Systems: His focus lies in enhancing control system security through advanced methods like intrusion detection, anomaly detection, and secure communication protocol design.

Networked Control Systems: Dr. Cheng explores the design, analysis, and optimization of networked control systems, aiming to improve performance, reliability, and robustness in systems reliant on networked communication.

Two-Dimensional Systems: Research includes investigating modeling, control, and analysis techniques for systems described by two-dimensional models, particularly discrete-time systems over spatial domains.

Markov Jump Systems: His work involves addressing stochastic control and estimation problems in Markov jump systems, developing innovative approaches for control and estimation under dynamic uncertainties.

Fault Detection: Dr. Cheng specializes in fault detection, isolation, and diagnosis in complex engineering systems, developing algorithms to manage faults effectively and ensure system safety, reliability, and performance.

Publication Top Noted:

Title: Asynchronous fault detection for interval type-2 fuzzy nonhomogeneous higher level Markov jump systems with uncertain transition probabilities

  • Journal: IEEE Transactions on Fuzzy Systems
  • Volume: 30
  • Issue: 7
  • Pages: 2487-2499
  • Year: 2021

Title: Fuzzy fault detection for Markov jump systems with partly accessible hidden information: An event-triggered approach

  • Journal: IEEE Transactions on Cybernetics
  • Year: 2021

Title: Asynchronous fault detection observer for 2-D Markov jump systems

  • Journal: IEEE Transactions on Cybernetics
  • Volume: 52
  • Issue: 12
  • Pages: 13623-13634
  • Year: 2021

Title: Finite-region asynchronous H∞ control for 2D Markov jump systems

  • Journal: Automatica
  • Volume: 129
  • Pages: 109590
  • Year: 2021

Title: Observer-based asynchronous fault detection for conic-type nonlinear jumping systems and its application to separately excited DC motor

  • Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
  • Volume: 67
  • Issue: 3
  • Pages: 951-962
  • Year: 2019