Constructing NARMAX models using ARMAX models
TA Johansen, B Foss - International journal of control, 1993 - Taylor & Francis
This paper outlines how it is possible to decompose a complex non-linear modelling
problem into a set of simpler linear modelling problems. Local ARMAX models valid within …
problem into a set of simpler linear modelling problems. Local ARMAX models valid within …
State-space modeling using operating regime decomposition and local models
TA Johansen, BA Foss - IFAC Proceedings Volumes, 1993 - Elsevier
Building non-linear state-space models of complex processes using first principles is a
resource demanding task. Here a decomposition of the problem by constructing simple local …
resource demanding task. Here a decomposition of the problem by constructing simple local …
On local and fuzzy modelling
BA Foss, TA Johansen - Third International Conference on …, 1993 - ieeexplore.ieee.org
Modelling methods that support different levels of accuracy and tolerate large variations in
process knowledge are discussed within the framework of local modelling and fuzzy …
process knowledge are discussed within the framework of local modelling and fuzzy …
Modelling dynamic processes with clustered time-delay neurons
D Neumerkel, R Murray-Smith… - Proceedings of 1993 …, 1993 - ieeexplore.ieee.org
This paper investigates the modelling capabilities of neural nets for a dynamic nonlinear
process. Different neural structures are compared: multilayer perceptron (MLP) and radial …
process. Different neural structures are compared: multilayer perceptron (MLP) and radial …
Parallel nonlinear decoupling for process control-a NARMAX approach
BA Foss, TA Johansen - Artificial Intelligence in Real-Time Control 1992, 1993 - Elsevier
The contribution of this paper is twofold. First, we focus on the application of a particular
NARMAX (nonlinear ARMAX) model representation based on local models for adaptive …
NARMAX (nonlinear ARMAX) model representation based on local models for adaptive …