Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor

This paper investigates robust H 2 and H ∞ step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the proposed two-mode dependent output feedback controller depends on both sensor-to-controller an...

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Vydané v:	IEEE transactions on industrial electronics (1982) Ročník 60; číslo 12; s. 5864 - 5874
Hlavní autori:	Shi, Yang, Huang, Ji, Yu, Bo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Actuators Augmentation Control systems Delay Delay effects Direct current Disturbance rejection Electric motors Linear systems Markov chains Markov processes Networked control systems networked control systems (NCSs) Output feedback step tracking Studies Synchronization time delays Tracking control {\cal H}_{2} control and {\cal H}_{\infty} control
ISSN:	0278-0046, 1557-9948
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Abstract	This paper investigates robust H 2 and H ∞ step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the proposed two-mode dependent output feedback controller depends on both sensor-to-controller and controller-to-actuator delays. To actively compensate for the controller-to-actuator delays, we propose the "send all, apply one" scheme: Sending a sequence of control signals, then at the actuator/plant node, applying the appropriate control signal according to the actual controller-to-actuator delay. Using the augmentation method, the resulting closed-loop system can be formulated as a discrete-time Markovian jump linear system. The H 2 and H ∞ step tracking problems are tackled by solving a set of linear matrix inequalities with nonconvex constraints. Both numerical simulations and experiments on a networked dc motor system are conducted to illustrate the effectiveness of the proposed methods.
AbstractList	This paper investigates robust H 2 and H ∞ step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the proposed two-mode dependent output feedback controller depends on both sensor-to-controller and controller-to-actuator delays. To actively compensate for the controller-to-actuator delays, we propose the "send all, apply one" scheme: Sending a sequence of control signals, then at the actuator/plant node, applying the appropriate control signal according to the actual controller-to-actuator delay. Using the augmentation method, the resulting closed-loop system can be formulated as a discrete-time Markovian jump linear system. The H 2 and H ∞ step tracking problems are tackled by solving a set of linear matrix inequalities with nonconvex constraints. Both numerical simulations and experiments on a networked dc motor system are conducted to illustrate the effectiveness of the proposed methods. This paper investigates robust cal H 2 and cal H infinity step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the proposed two-mode dependent output feedback controller depends on both sensor-to-controller and controller-to-actuator delays. To actively compensate for the controller-to-actuator delays, we propose the "send all, apply one" scheme: Sending a sequence of control signals, then at the actuator/plant node, applying the appropriate control signal according to the actual controller-to-actuator delay. Using the augmentation method, the resulting closed-loop system can be formulated as a discrete-time Markovian jump linear system. The cal H 2 and cal H infinity step tracking problems are tackled by solving a set of linear matrix inequalities with nonconvex constraints. Both numerical simulations and experiments on a networked dc motor system are conducted to illustrate the effectiveness of the proposed methods. This paper investigates robust [Formula Omitted] and [Formula Omitted] step tracking control methods for networked control systems subject to random time delays modeled by Markov chains. To make full use of the delay information, the proposed two-mode dependent output feedback controller depends on both sensor-to-controller and controller-to-actuator delays. To actively compensate for the controller-to-actuator delays, we propose the "send all, apply one" scheme: Sending a sequence of control signals, then at the actuator/plant node, applying the appropriate control signal according to the actual controller-to-actuator delay. Using the augmentation method, the resulting closed-loop system can be formulated as a discrete-time Markovian jump linear system. The [Formula Omitted] and [Formula Omitted] step tracking problems are tackled by solving a set of linear matrix inequalities with nonconvex constraints. Both numerical simulations and experiments on a networked dc motor system are conducted to illustrate the effectiveness of the proposed methods.
Author	Yang Shi Ji Huang Bo Yu
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Snippet	This paper investigates robust H 2 and H ∞ step tracking control methods for networked control systems subject to random time delays modeled by Markov chains.... This paper investigates robust [Formula Omitted] and [Formula Omitted] step tracking control methods for networked control systems subject to random time... This paper investigates robust cal H 2 and cal H infinity step tracking control methods for networked control systems subject to random time delays modeled by...
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SubjectTerms	Actuators Augmentation Control systems Delay Delay effects Direct current Disturbance rejection Electric motors Linear systems Markov chains Markov processes Networked control systems networked control systems (NCSs) Output feedback step tracking Studies Synchronization time delays Tracking control {\cal H}_{2} control and {\cal H}_{\infty} control
Title	Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor
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