Pseudospectral Convex Optimization based Model Predictive Static Programming for Constrained Guidance

This paper presents a pseudospectral convex optimization-based model predictive static programming (PCMPSP) for the constrained guidance problem. First, the sensitivity relation between the state increment and control correction is reformulated using Legendre-Gauss (LG) and Legendre-Gauss-Radau (LGR...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 59; H. 3; S. 1 - 16
Hauptverfasser:	Liu, Xu, Li, Shuang, Xin, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Aerodynamics Air to surface missiles Air-to-surface missile Algorithms Computational geometry Constrained guidance Convexity Guidance (motion) Guidance systems Mathematical programming Missile control Model predictive static programming Nonlinear dynamical systems Optimal control Optimization Performance analysis Performance indices Predictive models Pseudospectral convex optimization Robustness Sensitivity Trajectory Trajectory optimization
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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