Adaptive-pole selection in the Laguerre parametrisation of model ...
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In this paper, we study an adaptive method to select online the pole value for a Laguerre scheme in Model Predictive Control (MPC) that yields high performance.
In this paper, we study an adaptive method to select online the pole value for a Laguerre scheme in Model Predictive Control (MPC) that yields high ...
An adaptive algorithm is developed to systematically improve the closed-loop performance of the system as well as the volume of the feasible region and ...
In this paper, we study an adaptive method to select online the pole value for a Laguerre scheme in Model Predictive Control (MPC) that yields high performance.
In this paper, we study an adaptive method to select online the pole value for a Laguerre scheme in Model Predictive Control (MPC) that yields high ...
In this paper, we study an adaptive method to select online the pole value for a Laguerre scheme in Model Predictive Control (MPC) that yields high performance.
Adaptive-pole selection in the Laguerre parametrisation of model predictive control to achieve high performance. 2021, International Journal of Systems ...
Adaptive-pole selection in the Laguerre parametrisation of model predictive control to achieve high performance. International Journal of Systems Science ...
Jan 19, 2024 · This study focuses on designing an adaptive MPC (AMPC) scheme based on the linear model estimated from the input–output perturbation data under nominal ...
Missing: parametrisation | Show results with:parametrisation
Abstract—This paper focused on improving a model predic- tive control (MPC) using Laguerre functions. This study was conducted to achieve high performance ...