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Abstract: This work provides a tutorial to model a nonlinear system by means of a set of linear parameter varying (LPV) systems, linearized around equilibrium points in which the control design will ...

Abstract: Floating-point (FP) computation-in-memory (CIM) technology is increasingly demanded by low-power neural network training. In this work, we propose an energy-efficient configurable SRAM-based ...

Abstract: We propose a systematic approach for registering cross-source point clouds that come from different kinds of sensors. This task is especially challenging due to the presence of significant ...