Exponential Stabilization of Linear Systems using Nearest-Action Control with Countable Input Set

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Main Authors: Almuzakki, Muhammad Zaki, Jayawardhana, Bayu, Tanwani, Aneel, Vakis, Antonis I.
Format: Preprint
Published: 2024
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author Almuzakki, Muhammad Zaki
Jayawardhana, Bayu
Tanwani, Aneel
Vakis, Antonis I.
author_facet Almuzakki, Muhammad Zaki
Jayawardhana, Bayu
Tanwani, Aneel
Vakis, Antonis I.
contents This paper studies stabilization of linear time-invariant (LTI) systems when control actions can only be realized in finitely many directions where it is possible to actuate uniformly or logarithmically extended positive scaling factors in each direction. Furthermore, a nearest-action selection approach is used to map the continuous measurements to a realizable action where we show that the approach satisfies a weak sector condition for multiple-input multiple-output (MIMO) systems. Using the notion of input-to-state stability, under some assumptions imposed on the transfer function of the system, we show that the closed-loop system converges to the target ball exponentially fast. Moreover, when logarithmic extension for the scaling factors is realizable, the closed-loop system is able to achieve asymptotic stability instead of only practical stability. Finally, we present an example of the application that confirms our analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02238
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exponential Stabilization of Linear Systems using Nearest-Action Control with Countable Input Set
Almuzakki, Muhammad Zaki
Jayawardhana, Bayu
Tanwani, Aneel
Vakis, Antonis I.
Optimization and Control
Systems and Control
This paper studies stabilization of linear time-invariant (LTI) systems when control actions can only be realized in finitely many directions where it is possible to actuate uniformly or logarithmically extended positive scaling factors in each direction. Furthermore, a nearest-action selection approach is used to map the continuous measurements to a realizable action where we show that the approach satisfies a weak sector condition for multiple-input multiple-output (MIMO) systems. Using the notion of input-to-state stability, under some assumptions imposed on the transfer function of the system, we show that the closed-loop system converges to the target ball exponentially fast. Moreover, when logarithmic extension for the scaling factors is realizable, the closed-loop system is able to achieve asymptotic stability instead of only practical stability. Finally, we present an example of the application that confirms our analysis.
title Exponential Stabilization of Linear Systems using Nearest-Action Control with Countable Input Set
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2412.02238