文件名称：Model Predictive Control of a Mobile Robot Using.rar
文件大小：252KB
文件格式：RAR
更新时间：2022-08-29 08:52:37
模型预测
Abstract— This paper presents an optimal control scheme for a wheeled mobile robot (WMR) with nonholonomic constraints. It is well known that a WMR with nonholonomic constraints can not be feedback stabilized through continuously differentiable, time-invariant control laws. By using model predictive control (MPC), a discontinuous control law is naturally obtained. One of the main advantages of MPC is the ability to handle constraints (due to state or input limitations) in a straightforward way. Quadratic programming (QP) is used to solve a linear MPC by successive linearization of an error model of the WMR.
【文件预览】：
Model Predictive Control of a Mobile Robot Using.pdf