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  2. Value-stream mapping - Wikipedia

    en.wikipedia.org/wiki/Value-stream_mapping

    Value-stream mapping, also known as material- and information-flow mapping, [1] is a lean [2]-management method for analyzing the current state and designing a future state for the series of events that take a product or service from the beginning of the specific process until it reaches the customer.

  3. State-transition table - Wikipedia

    en.wikipedia.org/wiki/State-transition_table

    It is essentially a truth table in which the inputs include the current state along with other inputs, and the outputs include the next state along with other outputs. A state-transition table is one of many ways to specify a finite-state machine. Other ways include a state diagram.

  4. State diagram - Wikipedia

    en.wikipedia.org/wiki/State_diagram

    A state diagram for a door that can only be opened and closed. A state diagram is used in computer science and related fields to describe the behavior of systems. State diagrams require that the system is composed of a finite number of states. Sometimes, this is indeed the case, while at other times this is a reasonable abstraction.

  5. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    In other words, conditional on the present state of the system, its future and past states are independent. A Markov chain is a type of Markov process that has either a discrete state space or a discrete index set (often representing time), but the precise definition of a Markov chain varies. [ 6 ]

  6. UML state machine - Wikipedia

    en.wikipedia.org/wiki/UML_state_machine

    The state diagram from Figure 2 is an ... If an event in the current state's deferred event list occurs, the event will be saved (deferred) for future processing ...

  7. Model predictive control - Wikipedia

    en.wikipedia.org/wiki/Model_predictive_control

    MPC uses the current plant measurements, the current dynamic state of the process, the MPC models, and the process variable targets and limits to calculate future changes in the dependent variables. These changes are calculated to hold the dependent variables close to target while honoring constraints on both independent and dependent variables.

  8. Markov model - Wikipedia

    en.wikipedia.org/wiki/Markov_model

    In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only on the current state, not on the events that occurred before it (that is, it assumes the Markov property).

  9. Mealy machine - Wikipedia

    en.wikipedia.org/wiki/Mealy_machine

    The state diagram for a Mealy machine associates an output value with each transition edge, in contrast to the state diagram for a Moore machine, which associates an output value with each state. When the input and output alphabet are both Σ , one can also associate to a Mealy automata a Helix directed graph [ clarification needed ] ( S × Σ ...