Để khắc phục và bổ khuyết cho những hạn chế của đề tài, đồng thời phát huy thành công và những điểm mới trong nghiên cứu trên, tác giả dự định sẽ tiếp tục hướng nghiên cứu như sau:
- Nghiên cứu lý thuyết và áp dụng BĐK NNC ở trên cho các đối tượng AUV khác nhau, trong các điều kiện và môi trường làm việc với yêu cầu hoạt động phức tạp hơn, nâng cao chất lượng điều khiển.
- Thực nghiệm các kết quả nghiên cứu trên mô hình AUV và tiến tới ứng dụng vào thực tiễn, góp phần đổi mới công nghệ, sáng tạo các thuật toán, kỹ thuật điều khiển cùng lĩnh vực.
Cụ thể, tác giả dự định cùng các cộng sự nghiên cứu điều khiển AUV thực hiện nhiệm vụ tự động tránh vật cản, đi theo phương tiện dẫn đường (tàu mẹ, AUV khác), đi theo quỹ đạo phức tạp hơn, điều khiển nhóm nhiều AUV…
DANH MỤC CÁC CÔNG TRÌNH KHOA HỌC LIÊN QUAN ĐẾN LUẬN ÁN TIẾN SĨ
1. Đăng trên tạp chí
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Designing a PID controller for ship autopilot system, AETA 2018-Recent Advances in Electrical Engineering and Related Sciences, 618, 2018, ISSN 1876-1100. ISSN 1876-1119 (electronic).
[3] Long Le Ngoc Bao, Pham Viet Anh, Duy Anh Nguyen, Designing a controller for Autonomonus Underwater Vehicles Using Decoupled Model and Fuzzy Logic, AETA 2019 - Recent Advances in Electrical Engineering and Related Sciences, vol 685, 42, 2019, ISSN 1876-1100, ISSN 1876-1119 (electronic). [4] Phạm Việt Anh, Nguyễn Phùng Hưng, Lê Văn Ty, Điều khiển AUV di chuyển
bám theo địa hình đáy dung mạng nơ-ron nhân tạo, Tạp chí Giao thông Vận tải, tháng 05/2021, ISSN 2615-9751, trang 91-97.
2. Đăng trên kỷ yếu hội nghị, hội thảo
[5] Chau Giang Nguyen, Viet Anh Pham, Duy Anh Nguyen, The Hybrid Neural Adaptive Controller for Heading and Depth Control of Autonomous Underwater Vehicles, 21st International Conference on Mechatronics Technology October 20 – 23, 2017 in Ho Chi Minh City, Vietnam.
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submitted to the International Conference of Maritime Science & Technology NAŠE MORE 2021, Dubrovnik (Croatia).
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