Soft Computing based Implementation of Autonomous Drone Vehicle using Fuzzy Logic based Control Systems-Reference-Cited by-同舟云学术

Soft Computing based Implementation of Autonomous Drone Vehicle using Fuzzy Logic based Control Systems

Published:2023-08-23 Issue: Volume: Page:
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Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Mishra Soni¹,Punitha S.²,Harikrishns T.³,Swamy K. Narayana⁴,S Loganayagi⁵

Affiliation:

1. Graphic Era Hill University,Department of Physics,Dehradun,India

2. Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed to be University),Department of Mathematics,Salem,Tamil Nadu,India

3. Annamacharya Institute of Technology & Sciences,Department of AI&ML,Rajampet,Andhra Pradesh,India

4. REVA University, Kattigenahalli, Yelahanka, Bengaluru North,SoEEE(School of Electrical and Electronics Engineering),Bengaluru,India,560064

5. Saveetha School of Engineering(SIMATS),Department of Computer Science and Engineering,Thandalam, Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250582.pdf?arnumber=10250582

Reference25 articles.

1. Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic

2. Generative Adversarial Networks and Data Clustering for Likable Drone Design;yamin;SENSORS,2022

3. Anti-Drone and Anti-Autonomy: Achieving Drone Control via System Logic Analysis

4. Optimal model-free fuzzy logic control for autonomous unmanned aerial vehicle

5. A Multi-Agent Deep Reinforcement Learning Approach for Practical Decentralized UAV Collision Avoidance

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