ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.13959
  4. Cited By
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking
  Controllers for the Uncertain Quadrotor Systems

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems

26 March 2022
V. Tran
M. A. Mabrok
S. Anavatti
Matthew A. Garratt
I. Petersen
ArXivPDFHTML

Papers citing "Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems"

1 / 1 papers shown
Title
cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control
  Design for a Morphing Quadrotor
cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
Tao Yang
Huai-Ning Wu
Jun-Wei Wang
41
0
0
23 Aug 2024
1