On optimal pole assignment in a specified region

DOI10.1080/00207178408933257zbMath0543.93024OpenAlexW2055415029MaRDI QIDQ3332865

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Publication date: 1984

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178408933257

zbMATH Keywords

eigenvalue assignmentSchur formfeedback gain matrixclosed-loop eigenvaluesoptimal poles

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Canonical structure (93B10) Pole and zero placement problems (93B55) Eigenvalues, singular values, and eigenvectors (15A18) Canonical forms, reductions, classification (15A21) Model systems in control theory (93C99)

Related Items (8)

The inverse problem of linear optimal control for constant disturbance ⋮ On successive pole assignment by linear-quadratic optimal feedbacks ⋮ OPTIMAL RECONFIGURABLE CONTROL FOR ADAPTIVE STRUCTURES WITH POLE CONSTRAINTS ⋮ Linear feedback control with prespecified performance measure ⋮ D-stability analysis for discrete systems with a time delay ⋮ Robustness of D-stability for discrete large-scale uncertain systems ⋮ Linear quadratic regulators with eigenvalue placement in a horizontal strip ⋮ Comments on ‘On optimal pole assignment in a specified region’

Uses Software

• EISPACK

Cites Work

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• Dynamical systems and their applications: linear theory
• New results in state estimation and regulation
• Matrix eigensystem routines - EISPACK guide
• A Schur method for pole assignment
• Inverse Problem of Linear Optimal Control
• Ill-Conditioned Eigensystems and the Computation of the Jordan Canonical Form
• Optimization of linear multivariable systems with prespecified closed-loop eigenvalues
• Optimization of systems with assigned poles
• On equivalence of quadratic loss functions†
• Design of optimal control systems with prescribed eigenvalues†
• Derivation of weighting matrices towards satisfying eigenvalue requirements
• Equivalence of quadratic performance criteria
• The stable regulator problem and its inverse

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