Feb 12, 2016 · This paper presents a method to efficiently and accurately compute the continuous-time MPC problem based on the pseudospectral discretization, ...
This paper presents a method to efficiently and accurately compute the continuous-time MPC problem based on the pseudospectral discretization, which utilizes ...
This paper presents a method to efficiently and accurately compute the continuous-time MPC problem based on the pseudospectral discretization, which utilizes ...
Accurate Pseudospectral Optimization of Nonlinear Model Predictive ...
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Feb 23, 2022 · This paper designs an NMPC based motion planner and presents two techniques, named adaptive Lagrange discretization and hybrid obstacle ...
[2015] Efficient and Accurate Computation of Model Predictive Control using Pseudospectral Discretization. NeuroComputing, 2015. [2015] Field operational ...
Jun 14, 2016 · The MPC algorithm, presented here, is realised with two different methodologies to approximate the convolution product involved in the radiation ...
Jun 15, 2012 · Efficient and accurate computation of model predictive control using pseudospectral discretization. 1 Feb 2016 | Neurocomputing, Vol. 177.
Efficient and accurate computation of model predictive control using pseudospectral discretization. 2016. 期刊 Neurocomputing.
Feb 15, 2017 · Gauss pseudospectral optimal control is our trajectory optimization algorithm of choice because of three reasons: natural incorporation of state ...
An NMPC based motion planner is designed and two techniques, named adaptive Lagrange discretization and hybrid obstacle avoidance constraints, are presented ...