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• W159015046 abstract "Models of real systems are of fundamental importance in virtually all disciplines. Models can be useful for system analysis, i.e. for gaining a better understanding of the system. Models make it possible to predict or simulate a system’s behavior. In engineering, models are required for the design of new processes and for the analysis of existing processes. Advanced techniques for the design of controllers, optimization, supervision, fault detection and diagnosis components are also based on models of processes. Modeling and identification of systems are of fundamental importance, and the quality of the model typically determines an upper bound on the quality of the final problem solution. As a consequence, a strong demand for advanced modeling and identification schemes arises. Moreover every model is developed as a problem dependent solution, in other words, many aspects of a system can be modeled and on the basis of the specific problem a model is determined. Two practices exist to define models: modeling by physical laws and by identification. Physical modeling is based on the partition of a system into subsystems and on their description by means of known laws. The model is then obtained joining such relations into a whole. Identification consists in the selection of a specific model of a specific model in a specified class on the only basis of observations performed on the system to be described and of a selection criterion. In modeling and identification of complex systems before thinking about the development of a nonlinear model, a linear model should be considered first. If the linear model does not yield satisfactory performance, on possible explanation besides many others is a significantly nonlinear behavior of the process. In this thesis a contribution to complex system dynamics identification and estimation is given. With particular attention to real systems, three solutions are discussed to as many case studies. The first problem faced highlights the importance of identification to deal with practical problems in an Municipal Solid Waste incinerator, where first principles mathematical models are too complex to be implemented in a suitable control form with high accuracy. The procedure proposed is able to estimate, over a specified time horizon, the steam production of a MSW incinerator. In this work the incinerator is modeled as a system with combustion chamber temperature as the input and the steam flow as the output to be predicted, this" @default.
• W159015046 created "2016-06-24" @default.
• W159015046 creator A5082539738 @default.
• W159015046 date "2012-10-15" @default.
• W159015046 modified "2023-09-23" @default.
• W159015046 title "Modeling estimation and identification of complex system dynamics: issues and solutions" @default.
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