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In this paper, a new data-driven ILC method is proposed for I/O constrained nonlinear systems. An iterative dynamic linearization is introduced for the controlled nonlinear systems. All of the constraints on the system inputs and outputs are reformulated with a linear matrix inequality. The learning control law is then developed by minimizing a predesigned cost function subjected to the linear matrix...
Most drivers often make route choices according to their preferences in our real life, and they have different requirements for different path attributes. In this paper, the problem for optimal path selection with driver's preference is studied and path selection algorithm based on Grey Incidence Decision is put forward. Firstly, a path selection index system was constructed in order to reflect the...
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