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AUTOMATICA
2005
108views more  AUTOMATICA 2005»
14 years 11 months ago
Enlarging the domain of attraction of MPC controllers
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual way of guaranteeing stability of nonlinear MPC is to add...
Daniel Limón, T. Alamo, Eduardo F. Camacho
ISNN
2007
Springer
15 years 6 months ago
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
Ming Tie, Jing Bi, Yushun Fan
FGR
1998
IEEE
110views Biometrics» more  FGR 1998»
15 years 4 months ago
Dynamic Models of Human Motion
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
Christopher Richard Wren, Alex Pentland
CCE
2004
14 years 11 months ago
Thermodynamic uncertainties in batch processing and optimal control
Batch distillation is an important separation process for small-scale production especially in pharmaceutical, specialty chemical and biochemical industries. Although batch distil...
Saadet Ulas, Urmila M. Diwekar
NN
2006
Springer
14 years 11 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu