Bộ điều khiển Neural Network dựa trên sự kiện cho các hệ thống phi tuyến thuần túy có ràng buộc toàn trạng thái

Yang Gao1, Zhongcai Zhang1, Linran Tian1
1School of Engineering, Qufu Normal University, Rizhao, China

Tóm tắt

Trong bài báo này, chúng tôi nghiên cứu vấn đề điều khiển theo dõi đầu ra kích hoạt sự kiện cho một lớp hệ thống phi tuyến thuần túy, chịu ảnh hưởng của các ràng buộc toàn trạng thái thay đổi theo thời gian không đối xứng, các nhiễu tập trung và những bất định. Bằng cách giới thiệu một hàm phụ thuộc vào trạng thái, hệ thống bị ràng buộc ban đầu được chuyển đổi thành một hệ thống mới hoàn toàn tương đương với hệ thống trước đó. Sau đó, một bộ điều khiển mạng nơ-ron thích nghi (NN) kích hoạt sự kiện được phát triển để ổn định hệ thống mới. Các vấn đề thiết kế hình tròn và điều kiện khả thi được giải quyết bằng kỹ thuật biến đổi tọa độ dựa trên kiểm soát bề mặt động (DSC) đồng thời. Đã được chứng minh rằng sai số theo dõi đầu ra có thể hội tụ đến một tập hợp chặt chẽ được định nghĩa trước tùy ý theo phương pháp đề xuất. Ngoài ra, tính giới hạn của tất cả các tín hiệu cũng được đảm bảo thông qua chứng minh nghiêm ngặt. Đồng thời, bộ điều khiển đã thiết kế cho thấy khả năng duy trì các ràng buộc trạng thái mong muốn dưới các nhiễu tập trung và bất định, và giảm tải trọng truyền thông. Cuối cùng, kết quả mô phỏng cho thấy hiệu quả của thuật toán điều khiển.

Từ khóa

#Bộ điều khiển mạng nơ-ron #hệ thống phi tuyến thuần túy #ràng buộc toàn trạng thái #điều khiển kích hoạt sự kiện.

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