Robust model predictive control for hypersonic vehicle with state‐dependent input constraints and parameter uncertainty

2021 ◽  
Author(s):  
Chaofang Hu ◽  
Xiaohe Yang ◽  
Xiaofang Wei ◽  
Yongtai Hu
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Parameter Uncertainty ◽  
Hypersonic Vehicle ◽  
Input Constraints ◽  
Robust Model Predictive Control ◽  
State Dependent ◽  
Robust Model

scholarly journals Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty

2018 ◽  
Vol 51 (20) ◽  
pp. 442-447 ◽  
Author(s):  
Raffaele Soloperto ◽  
Matthias A. Müller ◽  
Sebastian Trimpe ◽  
Frank Allgöwer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Robust Model Predictive Control ◽  
State Dependent ◽  
Robust Model

scholarly journals Robust model predictive control design with input constraints

2010 ◽  
Vol 49 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Vojtech Veselý ◽  
Danica Rosinová ◽  
Martin Foltin
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Design ◽  
Input Constraints ◽  
Robust Model Predictive Control ◽  
Robust Model

scholarly journals New Results on Robust Model Predictive Control for Time-Delay Systems with Input Constraints

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Qing Lu ◽  
Yiyong Sun ◽  
Qi Zhou ◽  
Zhiguang Feng
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Upper And Lower Bounds ◽  
Delay Systems ◽  
Input Constraints ◽  
New Model ◽  
Robust Model Predictive Control ◽  
Time Varying Delay ◽  
Robust Model ◽  
Predictive Controller

This paper investigates the problem of model predictive control for a class of nonlinear systems subject to state delays and input constraints. The time-varying delay is considered with both upper and lower bounds. A new model is proposed to approximate the delay. And the uncertainty is polytopic type. For the state-feedback MPC design objective, we formulate an optimization problem. Under model transformation, a new model predictive controller is designed such that the robust asymptotical stability of the closed-loop system can be guaranteed. Finally, the applicability of the presented results are demonstrated by a practical example.

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