We present a novel technique for interactive, intuitive, and efficient modeling of virtual plants and plant ecosystems. Our approach is biologically-based, but shades the user from overwhelming input parameters by simplifying them to intuitive controls. Users are able to create scenes that are populated by virtual plants. Plants communicate actively with the environment and attempt to generate ...

The aim of this paper is to address an emergent and important area of research, fuzzy control, by means of an inductive reasoning approach derived from the General System Theory, called Fuzzy Inductive Reasoning (FIR). This eld has had a growing interest and development in the last years, and has proved to be very useful for modeling and prediction of a large variety of systems from diierent ar...

The last chapter elucidated the experimental setup and the factors influencing each unit of the large-scale seawater desalination process, with the reverse osmosis. This chapter deals with subjects such as the modeling of each unit of Sea water reverse osmosis (SWRO), the integration of these models to form an entire plant, and the future direction of the statistical modeling of the SWRO proces...

Feedback and integration of information are of paramount importance for the robust functioning and dynamics of biological systems. In plant developmental biology, experimentation is increasingly combined with computational modeling to obtain a better understanding of how such regulatory interactions shape the systems' behavior. Here we highlight experimental and modeling studies on feedback loo...

This paper presents a method to build a formal model of a plant, in the form of a network of timed automata, to be used for model-based verification of controllers. To ensure re-usability, this model is built by instantiation of generic components models. When the instantiated components models are assembled, spurious evolutions leading to states which do not represent the real behavior of the ...