Lower limbs movement restoration using input-output feedback linearization and model predictive control

Author(s):  
Samer Mohammed ◽  
Philippe Poignet ◽  
Philippe Fraisse ◽  
David Guiraud
2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Xiaobing Kong ◽  
Xiangjie Liu ◽  
Xiuming Yao

Constituting reliable optimal solution is a key issue for the nonlinear constrained model predictive control. Input-output feedback linearization is a popular method in nonlinear control. By using an input-output feedback linearizing controller, the original linear input constraints will change to nonlinear constraints and sometimes the constraints are state dependent. This paper presents an iterative quadratic program (IQP) routine on the continuous-time system. To guarantee its convergence, another iterative approach is incorporated. The proposed algorithm can reach a feasible solution over the entire prediction horizon. Simulation results on both a numerical example and the continuous stirred tank reactors (CSTR) demonstrate the effectiveness of the proposed method.


Author(s):  
Tam W. Nguyen ◽  
Syed Aseem Ul Islam ◽  
Adam L. Bruce ◽  
Ankit Goel ◽  
Dennis S. Bernstein ◽  
...  

2014 ◽  
Vol 47 (3) ◽  
pp. 7461-7466 ◽  
Author(s):  
M. Farina ◽  
L. Giulioni ◽  
L. Magni ◽  
R. Scattolini

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