This tutorial paper is concerned with the identification of hybrid models, i.e. dynamical models whose behavior is determined by interacting continuous and discrete dynamics. Methods specifically aimed at the identification of models with a hybrid structure are of very recent date. After discussing the main issues and difficulties connected with hybrid system identification, and giving an overv...

tomato as a highly nutritious vegetable crop is widely grown in the world. hybrid seed is preferably used for tomato production. identification of superior hybrid combination is one of the most important steps in the hybrid breeding programs. breeding of high yielding hybrids is expensive and involves testing large numbers of hybrid combinations in multi-environment trials. successful predictio...

A novel fusion approach for Language Identification called Languagedependent Fusion (LDF) is presented in this paper. A fusion system is a hybrid system which fuses the results from several individual sub-systems which utilize varied features, models, and/or classifiers. In LDF, instead of applying single fixed weighting coefficients to each sub-system, which happens in conventional approach su...

  In this study Amplified Fragment Length Polymorphism (AFLP) was applied to species identification of bester hybrids. Hybrids identification was performed by comparison of electrophoresis profiles with parental species. The simultaneous occurrence of diagnostic bands fixed in the parental species, genetic distance and identification and cluster analyses (UPGMA) allow a correct identification. ...

An approach for hybrid model parameter identification based on sensitivity equations approach is tested on a hybrid model for biosurfactant production process. The computer simulations were performed using software tools created in Matlab (The MathWorks, Inc.) environment. Possible difficulties and ways of practical implementation of the analyzed identification algorithms for the identification...

Some perspectives and challenges in research on the crossing of system biology, hybrid system formulations and system identification are outlined. Emphasis is given on the hybrid, gray box modeling of interactions between the different abstract levels of organization typically recognized in (micro-)organisms, its associated identification problem and optimal experimental (input) design.

General framework for hybrid model based identification and optimization of biochemical processes is elaborated. An enhanced hybrid model of the fed-batch biosurfactant production process is presented. The evolutionary programming techniques are applied for the hybrid model identification and optimization of the process. High performance of the applied optimization techniques is reported. The p...

Improving the energy-efficiency of heating, ventilation, and air-conditioning (HVAC) systems has the potential to realize large economic and societal benefits. This paper concerns the system identification of a hybrid system model of a building-wide HVAC system and its subsequent control using a hybrid system formulation of learning-based model predictive control (LBMPC). Here, the learning ref...

The paper addresses realization theory of discrete-time linear hybrid systems without guards (abbreviated by DTHLS ). We present necessary and sufficient conditions for existence of a realization, and a characterization of minimality. In addition, we present basic results on partial realization theory of DTHLSs along with a realization algorithm. We also sketch the application of the obtained r...

Model-based fault isolation and identification in hybrid systems is computationally expensive or even unfeasible for complex systems due to the presence of uncertainty concerning the actual state, and also due to the presence of both discrete and parametric faults coupled with changing modes in the system. In this work we improve fault isolation and identification performance for hybrid systems...