Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems

Uncertainty theory is a branch of mathematics for modeling human uncertainty based on the normality, duality, subadditivity, and product axioms. This paper studies a discrete-time LQ optimal control with terminal state constraint, whereas the weighting matrices in the cost function are indefinite an...

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Main Authors: Yuefen Chen, Minghai Yang
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2016/7241390
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author Yuefen Chen
Minghai Yang
author_facet Yuefen Chen
Minghai Yang
author_sort Yuefen Chen
collection DOAJ
description Uncertainty theory is a branch of mathematics for modeling human uncertainty based on the normality, duality, subadditivity, and product axioms. This paper studies a discrete-time LQ optimal control with terminal state constraint, whereas the weighting matrices in the cost function are indefinite and the system states are disturbed by uncertain noises. We first transform the uncertain LQ problem into an equivalent deterministic LQ problem. Then, the main result given in this paper is the necessary condition for the constrained indefinite LQ optimal control problem by means of the Lagrangian multiplier method. Moreover, in order to guarantee the well-posedness of the indefinite LQ problem and the existence of an optimal control, a sufficient condition is presented in the paper. Finally, a numerical example is presented at the end of the paper.
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spelling doaj-art-d498a4c3eb09417f9088a020ee80b5d32025-08-20T03:23:46ZengWileyJournal of Control Science and Engineering1687-52491687-52572016-01-01201610.1155/2016/72413907241390Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain SystemsYuefen Chen0Minghai Yang1School of Science, Nanjing University of Science and Technology, Nanjing 210094, ChinaCollege of Mathematics and Information Science, Xinyang Normal University, Xinyang 464000, ChinaUncertainty theory is a branch of mathematics for modeling human uncertainty based on the normality, duality, subadditivity, and product axioms. This paper studies a discrete-time LQ optimal control with terminal state constraint, whereas the weighting matrices in the cost function are indefinite and the system states are disturbed by uncertain noises. We first transform the uncertain LQ problem into an equivalent deterministic LQ problem. Then, the main result given in this paper is the necessary condition for the constrained indefinite LQ optimal control problem by means of the Lagrangian multiplier method. Moreover, in order to guarantee the well-posedness of the indefinite LQ problem and the existence of an optimal control, a sufficient condition is presented in the paper. Finally, a numerical example is presented at the end of the paper.http://dx.doi.org/10.1155/2016/7241390
spellingShingle Yuefen Chen
Minghai Yang
Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
Journal of Control Science and Engineering
title Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
title_full Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
title_fullStr Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
title_full_unstemmed Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
title_short Indefinite LQ Optimal Control with Terminal State Constraint for Discrete-Time Uncertain Systems
title_sort indefinite lq optimal control with terminal state constraint for discrete time uncertain systems
url http://dx.doi.org/10.1155/2016/7241390
work_keys_str_mv AT yuefenchen indefinitelqoptimalcontrolwithterminalstateconstraintfordiscretetimeuncertainsystems
AT minghaiyang indefinitelqoptimalcontrolwithterminalstateconstraintfordiscretetimeuncertainsystems