This paper describes a method for modelling nonlinear systems using operating regime decomposition. The resulting model structure is known as a local model network (LMN); it consists in the smoothly-weighted combination of a number of simple local models, each of which is valid in a particular...

In this paper we focus on the use of adaptive connectionist networks as a tool for designing controllers for nonlinear dynamic systems. A general interrelation between representation, control and learning is set up. We have developed controllers for nonlinear systems using three control...