Identification of Power Plant Processes - Theory and Application - Kulessky, Roland; Nudelman, Gregory
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The book presents non-standard approaches and algorithms for design, tuning, and modeling of power plant control systems in the environment of Matlab and its Toolboxes. The topic at hand is the identification of transfer functions of Single-Input Single-Output (SISO) - controlled processes, which may be described as dynamical links with self-regulating, or integrating, or differentiating properties. Within a framework of a single procedure, the nominal transfer function of the power process and the transfer functions uncertainties are identified, creating a basis for a robust approach. This…mehr

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Produktbeschreibung
The book presents non-standard approaches and algorithms for design, tuning, and modeling of power plant control systems in the environment of Matlab and its Toolboxes. The topic at hand is the identification of transfer functions of Single-Input Single-Output (SISO) - controlled processes, which may be described as dynamical links with self-regulating, or integrating, or differentiating properties. Within a framework of a single procedure, the nominal transfer function of the power process and the transfer functions uncertainties are identified, creating a basis for a robust approach. This textbook provides the necessary tools, guidance, and support for understanding and effective use of the modern methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a theoretical background for creating software for these purposes.