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- Title
Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics.
- Authors
Gao, Yuxin; Liu, Chunsheng; Duan, Dandan; Zhang, Shaojie
- Abstract
This article is concerned with the design of a novel distributed optimal event‐triggered (ET) cooperative control strategy for nonlinear multi‐missile guidance systems under the condition of partially unknown dynamics via adaptive dynamics programming. First, an improved online‐identifier is proposed to reconstruct the unknown dynamics based on the data‐driven mechanism in which an adaptive compensation term is introduced. The identification residual error is counteracted and the priori identification information is not required. In order to solve the Hamilton–Jacobi–Bellman equation, a single critic neural network (CNN) is utilized to approximate the online solutions and helps calculate the control policy. Then, the uniformly ultimately bounded for the ET closed‐loop system and the CNN weight error are proved by utilizing Lyapunov theory. Finally, the application to the multi‐missile guidance systems with simultaneous impact consideration validates all missiles can hit the target simultaneously and indicates the effectiveness of the designed approach.
- Subjects
HAMILTON-Jacobi-Bellman equation; CLOSED loop systems; ADAPTIVE fuzzy control
- Publication
International Journal of Robust & Nonlinear Control, 2022, Vol 32, Issue 15, p8369
- ISSN
1049-8923
- Publication type
Article
- DOI
10.1002/rnc.6285