Recent years have witnessed a growing interest on system identification techniques for
switched and piecewise affine models. These model classes have become popular not only …

Automata-based modeling of hybrid and cyber-physical systems (CPS) is an important
formal abstraction amenable to algorithmic analysis of its dynamic behaviors, such as in …

Integration of scheduling and control involves extensive information exchange and
simultaneous decision making in industrial practice (Engell and Harjunkoski, Comput Chem …

A piecewise affine (PWA) model identification method for nonlinear systems using
hierarchical clustering based on the gap metric is proposed. The model parameter …

We propose an online identification scheme for discrete-time piece-wise affine state-space
models based on a system of adaptive algorithms running in two timescales. A stochastic …

The multimodel approach was recently developed to deal with the issues of complex
systems modeling and control. Despite its success in different fields, it is still faced with …

Abstract Aljustrel mining area (South Portugal) belongs to the Iberian Pyrite Belt (IPB). It is
classified of high environmental risk due to its large tailings and to the Acid Mine Drainage …

Identification of piecewise affine hybrid systems is not an easy task since both the
parameters determining the discrete modes and the submodels parameters have to be …

This paper presents an output-constrained clustering approach for fuzzy system
identification and fuzzy granular system identification. The approach is unlike most existing …

In this paper, a novel identification method of piecewise affine (PWA) model for batch
processes based on constrained clustering technique is proposed. In traditional clustering …