In this paper, we propose a method for finding the best piecewise linearization of nonlinear functions. For this aim, we try to obtain the best approximation of a nonlinear function as a piecewise ...
Abstract: Linearization of nonlinear functions is a common strategy that researchers use in many practical optimization problems due to existence of more powerful linear programming algorithms. In ...
Abstract: Systems with a high number of inputs compared to the degrees of freedom (e.g., a mobile robot with Mecanum wheels) often have a minimal set of energy-efficient inputs needed to achieve a ...
This repository includes the code for the paper "Tube-based Distributionally Robust Model Predictive Control for Nonlinear Process Systems via Linearization". Model predictive control (MPC) is an ...
1 Department of Mathematics and Physics, University of Wisconsin-Parkside, Kenosha, WI, USA. 2 Department of Chemistry, University of Wisconsin-Parkside, Kenosha, WI, USA. We show that an ...
Some industries and applications with particular dynamics use a linearized RF frontend or a specific linearized architecture as a pre-requisite for enabling higher data throughput in communication ...
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