Title

Analytical Neighboring Optimal Guidance To Finite Horizon Linear Quadratic Tracking Problems

Keywords

Finite horizon; Linear quadratic tracking; Neighboring optimal control; Virtual motion camouflage

Abstract

In this paper, a new approach to solving finite horizon linear quadratic tracking problems is proposed. An analytical means is derived based on the virtual motion camouflage concept, and pseudospectral discretization and differential inclusion techniques. The method avoids several disadvantages of classic approaches by avoiding backward propagation and satisfying the boundary conditions exactly. The solution requires only a single matrix inversion and a numerical example is provided to show the effectiveness of the algorithm. ©2010 IEEE.

Publication Date

1-1-2010

Publication Title

Proceedings of the IEEE Conference on Decision and Control

Number of Pages

4946-4951

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/CDC.2010.5717788

Socpus ID

79953140310 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79953140310

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