Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 10, 2026Optimal Control Applications and Methods

Reinforcement Learning‐Based Optimal Fault‐Tolerant Formation Control of Multi‐Agent Systems With Collision Avoidance

View Full Paper
Ask AI
Bookmark
Share

Authors

MQMoshu QianWDWenhui DingZGZhifeng Gao

Discussion

Loading...

Member takes

Overview

Simulation-based approach optimizes collision avoidance and fault tolerance in multi-agent systems, indicating improved efficiency.

Key Points

  • The research aims to enhance fault tolerance and collision avoidance in multi-agent systems using reinforcement learning.
  • Developed a multi-agent model to account for unknown actuator faults and disturbances.
  • Utilized fuzzy logic systems to estimate adverse effects.
  • Derived the Hamiltonian–Jacobi–Bellman equation for optimal control.
  • Implemented an actor–critic structure to approximate optimal controllers.
  • Created a new reinforcement learning-based fault-tolerant formation controller.
  • The proposed controller demonstrated effective collision avoidance.
  • Simulation results confirmed significant improvement in fault tolerance.
  • Energy consumption was effectively reduced compared to traditional methods.

Cite This Study

Qian et al. (2026) studied this question.

synapsesocial.com/papers/69af959570916d39fea4d599https://doi.org/10.1002/oca.70091
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Fault-tolerant optimized consensus control for a class of second-order nonlinear multi-agent systems subjected to actuator failures2026
  2. 2Reinforcement Learning‐Based Consensus Control for Unknown Nonlinear Multi‐Agent Systems With Sensor Faults2026
  3. 3Fault‐tolerant control for multi‐agent systems: Addressing actuator and sensor faults in leaderless/leader‐follower architectures2024 · 7 citations
  4. 4Robust Fault-Tolerant Formation Maneuver Control for Multiagent Systems With Mismatched Disturbances2024 · 21 citations
  5. 5Adaptive resilient containment control using reinforcement learning for nonlinear stochastic multi-agent systems under sensor faults2024