Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation

Ahmed Khamis, D. Subbaram Naidu, Ahmed M. Kamel

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper presents an efficient online technique used for finite-horizon, nonlinear, stochastic, regulator, and tracking problems. This can be accomplished by the integration of the differential SDRE filter algorithm and the finite-horizon state dependent Riccati equation (SDRE) technique. Unlike the previous methods which deal with the linearized system, this technique provides finite-horizon estimation and control of the nonlinear stochastic systems. Further, the proposed technique is effective for a wide range of operating points. Simulation results of a missile guidance system are presented to illustrate the effectiveness of the proposed technique.

Original languageEnglish (US)
Article number178628
JournalInternational Journal of Aerospace Engineering
Volume2014
DOIs
StatePublished - 2014

Bibliographical note

Publisher Copyright:
© 2014 Ahmed Khamis et al.

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