| Proj No. | A1081-251 |
| Title | Event/Self-Triggered Approximate Leader-Follower Consensus Resilient to Byzantine Adversaries |
| Summary | Leader-follower consensus is a foundational problem in cooperative control, where followers align their states with a leader’s trajectory to achieve collective objectives. However, in adversarial environments, Byzantine agents—malicious or compromised nodes that transmit false information—can disrupt consensus by manipulating communication networks. Traditional consensus protocols assume fully trusted agents, making them ill-suited for security-critical applications like military drones or industrial IoT. Recent advancements, such as the framework in "Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries", propose hybrid event/self-triggered mechanisms to mitigate Byzantine threats while optimizing resource usage. Event-triggered control reduces unnecessary updates by activating only when predefined thresholds are breached, whereas self-triggered methods predict the next update time proactively. Integrating these with Byzantine-resilient algorithms. This project requires students to design a detection algorithm to identify Byzantine agents using local interaction data with event or self triggered mechanism and implement and test the system in Simulink. The study emphasizes both theoretical resilience guarantees (e.g., bounded tracking errors) and practical validation, preparing students for real-world cyber-physical system challenges. |
| Supervisor | Prof Wen Changyun (Loc:S2 > S2 B2B > S2 B2B 45, Ext: +65 67904947) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | INTEGRATED SYSTEMS RESEARCH (Loc: S1-B2A-04) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |