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- W2079353947 abstract "State feedback control is very attractive due to the precise computation of the gain matrix, but the implementation of a real-state feedback controller is impossible in most of the practical situations. Hence the need for an estimator or observer is obvious to estimate all the state variables by observing the input and the output of the controlled system. As such, the purpose of the paper is to provide a control design strategy based on a Luenberger observer that can assure the closed-loop performances of a vehicle drivetrain with backlash, while compensating the network-induced time-varying delays. The designed robust full state-feedback predictive controller based on flexible control Lyapunov functions explicitly takes into account the time-varying delays and guarantees also the input-to-state stability of the system in a non-conservative way. The control strategy was experimentally tested on a vehicle drivetrain emulator controlled through Controller Area Network." @default.
- W2079353947 created "2016-06-24" @default.
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- W2079353947 date "2014-01-01" @default.
- W2079353947 modified "2023-10-18" @default.
- W2079353947 title "Observer-based controller design for networked predictive control of an automotive drivetrain with backlash" @default.
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- W2079353947 doi "https://doi.org/10.3182/20140824-6-za-1003.02599" @default.
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