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- W4315471857 abstract "In this paper, we investigate the problem of finding a sparse sensor and actuator (S/A) schedule that minimizes the approximation error between the input-output behavior of the fully sensed/actuated bilinear system and the system with the scheduling. The quality of this approximation is measured by an ℋ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</inf> -like metric, which is defined for a bilinear (time-varying) system with S/A scheduling based on the discrete Laplace transform of its Volterra kernels. First, we discuss the difficulties of designing S/A schedules for bilinear systems, which prevented us from finding a polynomial time algorithm for solving the problem. We then propose a polynomial-time S/A scheduling heuristic that selects a fraction of sensors and node actuators at each time step while maintaining a small approximation error between the input-output behavior of the fully sensed/actuated system and the one with S/A scheduling in this ℋ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</inf> -based sense. Numerical experiments illustrate the good approximation quality of our proposed methods." @default.
- W4315471857 created "2023-01-11" @default.
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- W4315471857 date "2022-12-06" @default.
- W4315471857 modified "2023-09-27" @default.
- W4315471857 title "Sensor and Actuator Scheduling in Bilinear Dynamical Networks" @default.
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- W4315471857 doi "https://doi.org/10.1109/cdc51059.2022.9992368" @default.
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