133 search results - page 3 / 27 » Nonlinear predictive control based on neural multi-models |
IJON
2002
13 years 8 months ago
2002
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
SOCO
2002
Springer
13 years 8 months ago
2002
Springer
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
ESANN
2000
13 years 10 months ago
2000
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
BC
1999
13 years 8 months ago
1999
A model is presented to study and quantify the contribution of all available sensory information to human standing based on optimal estimation theory. In the model, delayed sensory...