Título: Systems and signals. Representations
Descripción automática: In this video, the professor from the Polytechnic University introduces the topic of system and signal models, focusing on their representations. The course addresses how systems and signals have been exemplified previously, defining a system as a collection of interconnected elements and signals as time-variant magnitudes that affect or indicate the behavior of a system. The discussion delves into various ways to represent signals, including graphs, tables, recordings, and as functions of time.
Signals are analyzed in terms of their composition, distinguishing between the basic signal, information, noise, and disturbances. The presentation touches on the phenomenon of ambiguous signals that can be interpreted in multiple ways, illustrating with the example of a visual puzzle that can be seen as either an old lady or a young woman. The video explains that the signal's value is context-dependent and can be influenced by various factors.
Types of signals such as continuous, discrete-time, binary, multivariate, and qualitative are reviewed, along with the importance of their shapes like sinusoidal, steps, ramps, or random variations. The concept of a system is expanded upon, emphasizing the principle of "Gestalt" which suggests that the whole is more than the sum of its parts. Key system features such as interactions and dynamics are cited as essential for system modeling.
Different models that simulate system behavior are shown, including pilot plants, electric or mechanical circuits, and block diagrams. These models help predict the behavior of systems ranging from static to dynamic, linear to uncertain, and multivariable to distributed.
The structure of systems is categorized into series, parallel, loop, or a general combination. The session concludes by summarizing the key points: the representation of systems and signals, differentiating between information and noise, and preparing for future sessions that will further explore system and signal analogies.
Autor/a: Albertos Pérez Pedro
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