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  2. System identification - Wikipedia

    en.wikipedia.org/wiki/System_identification

    System identification methods.png. The field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. [1] System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction.

  3. Nonlinear system identification - Wikipedia

    en.wikipedia.org/.../Nonlinear_system_identification

    System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs. The applications of system identification include any system where the inputs and outputs can be measured and include industrial processes, control systems, economic data, biology and the life sciences, medicine, social systems and many more.

  4. Structural identifiability - Wikipedia

    en.wikipedia.org/wiki/Structural_identifiability

    In the area of system identification, a dynamical system is structurally identifiable if it is possible to infer its unknown parameters by measuring its output over time. . This problem arises in many branch of applied mathematics, since dynamical systems (such as the ones described by ordinary differential equations) are commonly utilized to model physical processes and these models contain ...

  5. Eigensystem realization algorithm - Wikipedia

    en.wikipedia.org/wiki/Eigensystem_realization...

    The Eigensystem realization algorithm (ERA) is a system identification technique popular in civil engineering, in particular in structural health monitoring [citation needed]. ERA can be used as a modal analysis technique and generates a system realization using the time domain response (multi-)input and (multi-)output data. [1]

  6. Sparse identification of non-linear dynamics - Wikipedia

    en.wikipedia.org/wiki/Sparse_identification_of...

    Sparse identification of nonlinear dynamics (SINDy) is a data-driven algorithm for obtaining dynamical systems from data. [1] Given a series of snapshots of a dynamical system and its corresponding time derivatives, SINDy performs a sparsity-promoting regression (such as LASSO) on a library of nonlinear candidate functions of the snapshots against the derivatives to find the governing equations.

  7. Joint Electronics Type Designation System - Wikipedia

    en.wikipedia.org/wiki/Joint_Electronics_Type...

    The Joint Electronics Type Designation System (JETDS), which was previously known as the Joint Army-Navy Nomenclature System (AN System. JAN) and the Joint Communications-Electronics Nomenclature System , is a method developed by the U.S. War Department during World War II for assigning an unclassified designator to electronic equipment.

  8. Subspace identification method - Wikipedia

    en.wikipedia.org/wiki/Subspace_identification_method

    In mathematics, specifically in control theory, subspace identification (SID) aims at identifying linear time invariant (LTI) state space models from input-output data. SID does not require that the user parametrizes the system matrices before solving a parametric optimization problem and, as a consequence, SID methods do not suffer from problems related to local minima that often lead to ...

  9. Identity and access management - Wikipedia

    en.wikipedia.org/wiki/Identity_and_Access_Management

    Identity management (ID management) – or identity and access management (IAM) – is the organizational and technical processes for first registering and authorizing access rights in the configuration phase, and then in the operation phase for identifying, authenticating and controlling individuals or groups of people to have access to applications, systems or networks based on previously ...