Shuhui Bi

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We investigate a general framework of multiplicative multitask feature learning which decomposes individual task's model parameters into a multiplication of two components. One of the components is used across all tasks and the other component is task-specific. Several previous methods can be proved to be special cases of our framework. We study the(More)
— In this paper, robust control for robot manipulator is considered by using operator based robust right coprime fac-torization approach. In details, the right coprime factorization of one class of robot dynamics like nonlinear systems is given and an operator based control design structure is proposed. Based on the proposed control design scheme, the(More)
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