Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems

This paper aims to explore the application of sampling control technology in positive Markov jump systems (PMJSs), focusing on the exponential stability in mean and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><...

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Main Authors: Ping Zhao, Ben Niu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/1/110
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author Ping Zhao
Ben Niu
author_facet Ping Zhao
Ben Niu
author_sort Ping Zhao
collection DOAJ
description This paper aims to explore the application of sampling control technology in positive Markov jump systems (PMJSs), focusing on the exponential stability in mean and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain performance of the system. We first establish a PMJS model based on sampling control and conduct a detailed analysis of its exponential stability in mean. Subsequently, combined with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain theory, we propose a sufficient condition for PMJSs with a prescribed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain performance level, which ensures the robustness and satisfaction of performance indicators of the system in a randomly switching environment. From the sufficient conditions we have given, we can indeed see the effect of the sampling period on the system performance. Based on this sufficient condition, we further design the state feedback controller, and give the feedback gain solving algorithm based on linear programming method. A simple simulation example verifies the correctness and effectiveness of the results. The main contribution of this paper is to introduce sampling control technology into the research of PMJSs and propose a complete theoretical framework and analysis method, providing new theoretical support and practical application value for the sampling control of PMJSs.
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spelling doaj-art-9902cbe8a0e2495d9bd987115149cffc2025-01-10T13:18:17ZengMDPI AGMathematics2227-73902024-12-0113111010.3390/math13010110Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control SystemsPing Zhao0Ben Niu1School of Information Science and Engineering, Shandong Normal University, Jinan 250358, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250358, ChinaThis paper aims to explore the application of sampling control technology in positive Markov jump systems (PMJSs), focusing on the exponential stability in mean and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain performance of the system. We first establish a PMJS model based on sampling control and conduct a detailed analysis of its exponential stability in mean. Subsequently, combined with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain theory, we propose a sufficient condition for PMJSs with a prescribed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain performance level, which ensures the robustness and satisfaction of performance indicators of the system in a randomly switching environment. From the sufficient conditions we have given, we can indeed see the effect of the sampling period on the system performance. Based on this sufficient condition, we further design the state feedback controller, and give the feedback gain solving algorithm based on linear programming method. A simple simulation example verifies the correctness and effectiveness of the results. The main contribution of this paper is to introduce sampling control technology into the research of PMJSs and propose a complete theoretical framework and analysis method, providing new theoretical support and practical application value for the sampling control of PMJSs.https://www.mdpi.com/2227-7390/13/1/110positive Markov jump systemsampling controlexponential stabilityℒ1-gainrobustness
spellingShingle Ping Zhao
Ben Niu
Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
Mathematics
positive Markov jump system
sampling control
exponential stability
ℒ1-gain
robustness
title Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
title_full Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
title_fullStr Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
title_full_unstemmed Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
title_short Exponential Stability and ℒ<sub>1</sub>-Gain Performance for Positive Sampled-Data Control Systems
title_sort exponential stability and l sub 1 sub gain performance for positive sampled data control systems
topic positive Markov jump system
sampling control
exponential stability
ℒ1-gain
robustness
url https://www.mdpi.com/2227-7390/13/1/110
work_keys_str_mv AT pingzhao exponentialstabilityandlsub1subgainperformanceforpositivesampleddatacontrolsystems
AT benniu exponentialstabilityandlsub1subgainperformanceforpositivesampleddatacontrolsystems