How to emplement Model Predictive Control

Hi,
I have to controle a MIMO system whose model could change over time.
It's an 8dof robot with 8 actuators, and a sensor that gives 3d velocity, position, roation rate, and orientation.
Actually I'm using autotunnig PID, and considering my MIMO system like multiple SISO systems. It works correctly for some dof but not for others.
It seems that Model predictive control is the right way to do that.
What are the steps to emplement correctly a MPC?
Thanks

Thank you very much Javi, I will try designing the MPC controller over the a linearized model and implement it on the nonlinear proccess. But I have a problem designing the controller with the linear model. I am using the example "CDEx MPC with Dual Constraints" to start working over it. So I just change each matrix (A,B,C,D) and the rest of the parameters (constraints, set point), but when I run it it doesn't works fine and it shows to me 2 control signals when the system just have one. Something similar occur with the outputs, according to the model I have 2 outputs but the chart only shows me 1. And the constarints seems to do nothing (umin = 0 - umax = 5e-4; ymin = [0;0]; ymax = [0.69;0.59]. I attach the file hoping you can help me please because I've been trying also on several examples for this state space model and having no result. 
Please help me with this problem, because I do not have no where to ask.
Attachments:
MPC.vi ‏190 KB

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