Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 30, Issue 1, Pages 344-351Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2021.3051578
Keywords
Wireless communication; Buildings; Wireless sensor networks; Earthquakes; Control systems; Mathematical model; Markov processes; Earthquake engineering; Markov jump linear system; networked control system; packet loss; sampled-data system; stability; structural engineering
Funding
- NSF [1750225]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1750225] Funding Source: National Science Foundation
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This study examines the analysis of networked structural control systems with measurement loss. A sampled-data system is used to integrate the discrete-time operation of the controller with a fast-sampling approximation of the continuous-time structural dynamics. An H-2-norm analysis is proposed to assess the stability and performance of the structural control, with a three-story building model serving as an example.
This brief considers the analysis of networked structural control systems with measurement loss. This is modeled as a sampled-data system that integrates the discrete-time operation of the controller with a fast-sampling approximation of the continuous-time structural (plant) dynamics. Random measurement loss in each channel due to the use of the wireless transmission is modeled as a Bernoulli process. This leads to a discrete-time, Markov jump linear model for the feedback system. An H-2-norm analysis is proposed to assess the stability and the performance of the structural control. An example of a three-story building model is used to illustrate this approach. The H-2-norm results are shown to be in agreement with the numerical simulations. The analysis can, thus, be used to assess various design choices. For example, the relationship between the probability of signal loss and the H-2-norm depends on the method used to handle the signal loss. Moreover, the analysis shows that, for a jump controller setup using steady-state Kalman gains, the system can become unstable at very small probabilities of signal loss.
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