Cerebellar Model Articulation Neural Network-Based Distributed Fault Tolerant Tracking Control with Obstacle Avoidance for Fixed-Wing UAVs
Author:
Affiliation:
1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China
2. College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/7778228/10144522.pdf?arnumber=10144522
Reference37 articles.
1. A new consensus theory-based method for formation control and obstacle avoidance of UAVs
2. Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
3. A New Self-Organizing Fuzzy Cerebellar Model Articulation Controller for Uncertain Nonlinear Systems Using Overlapped Gaussian Membership Functions
4. Fractional-order global sliding mode controller for an uncertain quadrotor UAVs subjected to external disturbances
5. Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge
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