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- W2080486057 abstract "This paper describes a design of model predictive control for vehicle formation. The design can be model-based or data-based. In the model-based version, the controllers are designed from known models of the vehicles, whereas in the data-based version, the controller gains are computed directly from the vehicle input-output data, bypassing the predictive model identification step. The data-based version can be implemented adaptively to handle unexpected obstacles and changing operating environment. Simulation results illustrate how the theory can be applied to a group of vehicles to make them move in formation while tracking a moving target and avoiding obstacles." @default.
- W2080486057 created "2016-06-24" @default.
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- W2080486057 date "2008-07-01" @default.
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- W2080486057 title "Optimal model predictive control formations" @default.
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- W2080486057 doi "https://doi.org/10.1109/ccdc.2008.4597270" @default.
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