Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 7, 2025International Journal of Adaptive Control and Signal ProcessingOpen Access

Formation Control Design and Optimization for Uncertain Underactuated Robots Team Using Cooperative Game Theory

View Full Paper
Ask AI
Bookmark
Share

Authors

CHChunsheng HeJZJian ZhaoKSKe Shao

Discussion

Loading...

Member takes

Overview

Analysis demonstrates optimal formation control in uncertain underactuated robots, suggesting cooperative game algorithms improve performance.

Key Points

  • Optimal formation control improves tracking performance in underactuated robots under uncertainty, enhancing stability.
  • The cooperative game approach balances energy cost and tracking performance, ensuring effective robotic teamwork.
  • Adaptive formation controller designed using Udwadia-control principles guarantees deterministic convergence of the robot team.
  • Inverted pendulum robots used in simulations highlight the practical application of formation control under dynamic conditions.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/694020ee2d562116f28fb0f3https://doi.org/10.1002/acs.70019
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. 1Adaptive Time-Varying Formation Maneuvering Control for Multi-Robot Systems in Complex Obstacle-Rich Environments2024
  2. 2Control design for intelligent and connected vehicle swarm systems: A generalized Udwadia–Kalaba approach2026
  3. 3Constraint-following adaptive robust control for multi-vehicle system formation with collision avoidance2024
  4. 4Recent Advances and a Hybrid Framework for Cooperative UAV Formation Control2025 · 5 citations
  5. 5Formation cooperative trajectory tracking control for unmanned aerial vehicles via differential game and reinforcement learning2024 · 8 citations