JOURNAL ARTICLE

Sensitivity-reduced optimal discrete linear regulator with prescribed closed-loop eigenvalues

Abstract

A method is proposed for the design of constant-gain optimal feedback control laws for discrete-time systems, which reduce trajectory sensitivity to small system parameter variations and ensure the closed-loop eigenvalues at the prescribed locations. The selected performance index is of standard linear regulator type, modified to include a quadratic sensitivity term. An efficient computational procedure, based on direct cost optimisation and using a gradient-type algorithm, is also reported. A case study of a boiling-water reactor power plant has been presented to illustrate the application of the design procedure.

Keywords:
Control theory (sociology) Sensitivity (control systems) Eigenvalues and eigenvectors Linear-quadratic regulator Mathematics Optimal control Trajectory Quadratic equation Term (time) Linear system Mathematical optimization Computer science Engineering Control (management) Mathematical analysis

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2
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0.73
FWCI (Field Weighted Citation Impact)
0
Refs
0.76
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Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Nuclear reactor physics and engineering
Physical Sciences →  Engineering →  Aerospace Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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