The bat algorithm, variants and some practical engineering applications: a review
The bat algorithm (BA), a metaheuristic algorithm developed by **n-She Yang in 2010, has
since been modified, and applied to numerous practical optimization problems in …
since been modified, and applied to numerous practical optimization problems in …
Online trajectory optimization for power system fault of launch vehicles via convex programming
Y Li, B Pang, C Wei, N Cui, Y Liu - Aerospace Science and Technology, 2020 - Elsevier
This paper presents an online trajectory optimization algorithm for launch vehicles based on
convex programming to ensure flight safety in case of power system fault. Due to high …
convex programming to ensure flight safety in case of power system fault. Due to high …
All-aspect attack guidance law for agile missiles based on deep reinforcement learning
X Gong, W Chen, Z Chen - Aerospace Science and Technology, 2022 - Elsevier
This paper presents an all-aspect attack guidance law for agile missiles based on deep
reinforcement learning (DRL), which can effectively cope with the aerodynamic uncertainty …
reinforcement learning (DRL), which can effectively cope with the aerodynamic uncertainty …
A nonlinear robust model predictive differential game guidance algorithm based on the particle swarm optimization
H Nobahari, S Nasrollahi - Journal of the Franklin Institute, 2020 - Elsevier
Two-dimensional engagement of a pursuer and a maneuvering target, affected by matched
uncertainties, is formulated as a nonlinear differential game. The uncertain guidance …
uncertainties, is formulated as a nonlinear differential game. The uncertain guidance …
All-aspect three-dimensional guidance law based on feedback linearization
G Weiss, I Rusnak - Journal of Guidance, Control, and Dynamics, 2015 - arc.aiaa.org
A nonlinear three-dimensional all-aspect guidance problem of an acceleration-constrained
missile is dealt with. The feedback linearization method is applied to derive a three …
missile is dealt with. The feedback linearization method is applied to derive a three …
Time-energy optimal guidance strategy for realistic interceptor using pseudospectral method
This paper proposes the use of Legendre pseudospectral method (PSM) to obtain the
optimal guidance strategy for a two-dimensional interceptor problem. An optimal control …
optimal guidance strategy for a two-dimensional interceptor problem. An optimal control …
[HTML][HTML] Robust spline-line energy management guidance algorithm with multiple constraints and uncertainties for solid rocket ascending
W Songyan, LIU Fei, C Tao, Y Ming - Chinese Journal of Aeronautics, 2022 - Elsevier
For the solid rocket with depletion shutdown system, effective energy management is
significant to meet terminal constraints by exhausting excess energy. Several traditional …
significant to meet terminal constraints by exhausting excess energy. Several traditional …
Time-energy efficient guidance strategy for a realistic 3d interceptor: An adaptive robust time-delayed control approach with input saturation
To achieve successful interception of a target by a missile with efficient time-energy
utilization and robustness against external disturbances, a consolidated guidance approach …
utilization and robustness against external disturbances, a consolidated guidance approach …
Aerial vehicle guidance based on passive machine learning technique
CU Chithapuram, AK Cherukuri… - International Journal of …, 2016 - emerald.com
Purpose The purpose of this paper is to develop a new guidance scheme for aerial vehicles
based on artificial intelligence. The new guidance scheme must be able to intercept …
based on artificial intelligence. The new guidance scheme must be able to intercept …
Neuro-evolution-based generic missile guidance law for many-scenarios
Designing efficient aerial interceptors is an important task. Using Pareto-optimality, this
paper presents a novel approach for generating guidance laws that are generic for many …
paper presents a novel approach for generating guidance laws that are generic for many …