A similarity transformation is a mathematical operation that changes the representation of a state-space model without altering its fundamental properties, such as the system's eigenvalues and input-output behavior. This type of transformation is crucial for analyzing and simplifying state-space models, as it allows the representation of a system to be modified while maintaining its essential characteristics, which helps in solving problems related to controllability, observability, and stability.
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