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ESSMAC
2003
Springer
15 years 3 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
IPCCC
2007
IEEE
15 years 4 months ago
A Model-Based Admission Control for 802.11e EDCA using Delay Predictions
- This paper presents a unique approach for a model-based admission control algorithm for the IEEE 802.11e Enhanced Distributed Channel Access (EDCA) standard. The analytical model...
A. Bai, Tor Skeie, Paal E. Engelstad
IJON
2002
154views more  IJON 2002»
14 years 9 months ago
Nonlinear model predictive control of a cutting process
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...
Primoz Potocnik, Igor Grabec
ETFA
2008
IEEE
15 years 4 months ago
From monotone inequalities to Model Predictive Control
The dater equalities constitute a well-known tool which allows the description of Timed Event Graphs in the field of (max, +) algebra. This paper gives an equivalent model in the...
Abdelhak Guezzi, Philippe Declerck, Jean-Louis Boi...
SCL
2008
108views more  SCL 2008»
14 years 9 months ago
On input-to-state stability of min-max nonlinear model predictive control
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...
Mircea Lazar, David Muñoz de la Peña...