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Computational Experience with a Modified Newton Solver for Discrete-Time Algebraic Riccati Equations

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Informatics in Control, Automation and Robotics (ICINCO 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 613))

Abstract

A Newton-type algorithm and line search strategies for solving generalized discrete-time algebraic Riccati equations are dealt with. The conceptual algorithm is presented, and its main computational steps are discussed. Evaluation of residuals and closed-loop matrices at each iteration, determination of the step size, and the use of line search with backtracking, are addressed in detail. Algorithmic and implementation issues taken into account in the developed solver are described. An extensive performance investigation on a large collection of examples has been performed, and the results are summarized. Both usual line search and line search with backtracking, and either identity or diagonal performance index matrices are considered. Difficult examples are included. The results often show significantly improved accuracy, measured in terms of normalized and relative residuals, in comparison with the state-of-the-art MATLAB function. The new solver is strongly recommended for improving the solutions computed by other solvers.

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Author information

Authors and Affiliations

  1. National Institute for Research and Development in Informatics, 011455, Bucharest, Romania

    Vasile Sima

  2. Max Planck Institute for Dynamics of Complex Technical Systems, 39106, Magdeburg, Germany

    Peter Benner

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  1. Vasile Sima
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  2. Peter Benner
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Correspondence to Vasile Sima .

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Editors and Affiliations

  1. Ford Research and Advanced Engineer, Dearborn, MI, USA

    Oleg Gusikhin

  2. University of Paris-EST Créteil (UPEC), Créteil, France

    Kurosh Madani

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Sima, V., Benner, P. (2020). Computational Experience with a Modified Newton Solver for Discrete-Time Algebraic Riccati Equations. In: Gusikhin, O., Madani, K. (eds) Informatics in Control, Automation and Robotics. ICINCO 2018. Lecture Notes in Electrical Engineering, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-030-31993-9_7

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