Disturbance observer-based neural adaptive stochastic control for a class of kinetic kill vehicle subject to unmeasured states and full state constraints-Reference-Cited by-同舟云学术

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Disturbance observer-based neural adaptive stochastic control for a class of kinetic kill vehicle subject to unmeasured states and full state constraints

Published:2023-09 Issue:13 Volume:360 Page:9515-9536
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Ning Xin,Luo Chengfeng,Wang Zheng^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference42 articles.

1. Factors impacting exo-atmospheric interceptor performance from pre-launch to midcourse handover;Pastrick,1988

2. Midcourse motor and KKV divert propellant allocations for an exo-atmospheric interceptor;Phillips,1998

3. Adaptive dynamic surface control for a kinetic kill vehicle with side-window detection;Zhang,2018

4. Attitude control of near space kinetic kill vehicle based on neural network backtepping control;Zhang;Acta Aeronaut. Astronaut. Sin.,2018

5. Prescribed performance neural control to guarantee tracking quality for near space kinetic kill vehicle;Tao;J. Syst. Eng. Electron.,2019

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