The Greatest Networkers in the World: Twenty-one ordinary people who became millionaires in Network Marketing, and the true stories of how they did it. (Book One) by John Milton Fogg

The Greatest Networkers in the World: Twenty-one ordinary people who became millionaires in Network Marketing, and the true stories of how they did it. (Book One) by John Milton Fogg

A class of nonlinear model predictive control(NMPC) law based on gradient-based iteration is analyzed and implemented real-time in this book. This NMPC law takes only a finite number of Newton steps in each sampling period instead of solving the complete optimal control problem. The key attribute of the NMPC algorithmused here is that it only seeks to reduce the error at the end of the prediction horizon rather than tries to find the optimal solution. This reduces the computation load and allows for real-time implementation. The stability is shown for a class of discrete-time control-affine system that the NMPC has some inherent robustness property with respect to external disturbances and model error. This property follows from the exponential convergence of the predicted state error. The robustness of this NMPC is analyzed and quantified with uncertainties. In addition to simulation examples, the NMPC algorithm is also applied to the swing-up control experiment of a rotary inverted pendulum. We also discuss the implementation strategy, state estimation issue, and experimental results.

SKU	Unavailable
ISBN 13	9780983399704
ISBN 10	0983399700
Title	The Greatest Networkers in the World: Twenty-one ordinary people who became millionaires in Network Marketing, and the true stories of how they did it. (Book One)
Author	John Milton Fogg
Condition	Unavailable
Binding Type	Paperback
Publisher	Success In Networking Press
Year published	2011-01-01
Number of pages	0
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.