Robust pole placement with minimum gain for constrained linear systems

The paper describe a numerical approach for to improve the quality of performance for linear systems under state constraints. The objective is to find an optimal stabilizing state feedback control law with minimum gain making the system positively invariant and assign robustly a desired pole.

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Main Authors: Faiz, Samira EL, Benzaouia, Abdellah
Format: Conference Proceeding
Language:English
Subjects:
Condition Number
Eigenvalues and eigenfunctions
Linear matrix inequalities
Linear Matrix Inequality
Linear systems
Minimization
Minimum Gain
Optimization
Optimization problem
Pole Placement
Positive Invariance
Robust Control
Sensitivity
State feedback
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creator Faiz, Samira EL
Benzaouia, Abdellah
description The paper describe a numerical approach for to improve the quality of performance for linear systems under state constraints. The objective is to find an optimal stabilizing state feedback control law with minimum gain making the system positively invariant and assign robustly a desired pole.
doi_str_mv 10.1109/CoDIT.2019.8820432
format conference_proceeding
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identifier EISSN: 2576-3555
ispartof 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019, p.1127-1131
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source IEEE Xplore All Conference Series
subjects Condition Number
Eigenvalues and eigenfunctions
Linear matrix inequalities
Linear Matrix Inequality
Linear systems
Minimization
Minimum Gain
Optimization
Optimization problem
Pole Placement
Positive Invariance
Robust Control
Sensitivity
State feedback
title Robust pole placement with minimum gain for constrained linear systems
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