Inferential networked control with accessibility constraints in both the sensor and actuator channels
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Other documents of the author: Peñarrocha-Alós, Ignacio; Dolz Algaba, Daniel; Sanchis LLopis, Roberto
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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INVESTIGACIONMetadata
Title
Inferential networked control with accessibility constraints in both the sensor and actuator channelsDate
2013-01Publisher
Taylor & FrancisISSN
0020-7721Bibliographic citation
PEÑARROCHA, I.; DOLZ, D.; SANCHIS, R. Inferential networked control with accessibility constraints in both the sensor and actuator channels. International Journal of Systems Science, 2013, ahead-of-print: 1-16.Type
info:eu-repo/semantics/articlePublisher version
http://www.tandfonline.com/doi/full/10.1080/00207721.2012.745030Abstract
The predictor and controller design for an inferential control scheme over a network is addressed. A linear plant with disturbances and measurement noise is assumed to be controlled by a controller that communicates ... [+]
The predictor and controller design for an inferential control scheme over a network is addressed. A linear plant with disturbances and measurement noise is assumed to be controlled by a controller that communicates with the sensors and the actuators through a constrained network. An algorithm is proposed such that the scarce available outputs are used to make a prediction of the system evolution with an observer that takes into account the amount of lost data between successful measurements transmissions. The state prediction is then used to calculate the control actions sent to the actuator. The possibility of control action drop due to network constraints is taken into account. This networked control scheme is analyzed and both the predictor and controller designs are addressed taking into account the disturbances, the measurement noise, the scarce availability of output samples and the scarce capability of control actions update. The time-varying sampling periods that result for the process inputs and outputs due to network constraints have been determined as a function of the probability of successful transmission on a specified time with a Bernoulli distribution. For both designs H∞ performance has been established and LMI design techniques have been used to achieve a numerical solution. [-]
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International Journal of Systems Science, 2013Rights
© 2013 Taylor & Francis Group
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info:eu-repo/semantics/openAccess
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