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  2. State-transition matrix - Wikipedia

    en.wikipedia.org/wiki/State-transition_matrix

    The state-transition matrix is used to find the solution to a general state-space representation of a linear system in the following form ˙ = () + (), =, where () are the states of the system, () is the input signal, () and () are matrix functions, and is the initial condition at .

  3. Controllability Gramian - Wikipedia

    en.wikipedia.org/wiki/Controllability_Gramian

    In control theory, we may need to find out whether or not a system such as ˙ = + () = + is controllable, where , , and are, respectively, , , and matrices for a system with inputs, state variables and outputs.

  4. Controllability - Wikipedia

    en.wikipedia.org/wiki/Controllability

    The exact definition varies slightly within the framework or the type of models applied. The following are examples of variations of controllability notions which have been introduced in the systems and control literature: State controllability; Output controllability; Controllability in the behavioural framework

  5. Rosenbrock system matrix - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_system_matrix

    The short form of the Rosenbrock system matrix has been widely used in H-infinity methods in control theory, where it is also referred to as packed form; see command pck in MATLAB. [3] An interpretation of the Rosenbrock System Matrix as a Linear Fractional Transformation can be found in. [4]

  6. State-space representation - Wikipedia

    en.wikipedia.org/wiki/State-space_representation

    The internal state variables are the smallest possible subset of system variables that can represent the entire state of the system at any given time. [13] The minimum number of state variables required to represent a given system, , is usually equal to the order of the system's defining differential equation, but not necessarily.

  7. State-transition equation - Wikipedia

    en.wikipedia.org/wiki/State-Transition_Equation

    The state-transition equation is defined as the solution of the linear homogeneous state equation. The linear time-invariant state equation given by = + + (), with state vector x, control vector u, vector w of additive disturbances, and fixed matrices A, B, E can be solved by using either the classical method of solving linear differential equations or the Laplace transform method.

  8. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    The process is characterized by a state space, a transition matrix describing the probabilities of particular transitions, and an initial state (or initial distribution) across the state space. By convention, we assume all possible states and transitions have been included in the definition of the process, so there is always a next state, and ...

  9. Social control theory - Wikipedia

    en.wikipedia.org/wiki/Social_control_theory

    Another early form of the theory was proposed by Reiss (1951) [3] who defined delinquency as, "...behavior consequent to the failure of personal and social controls." ." Personal control was defined as, "...the ability of the individual to refrain from meeting needs in ways which conflict with the norms and rules of the community" while social control was, "...the ability of social groups or ...

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