The Mathworks, Inc.

David B Andrade

Srinath Avadhanula

Vijaya Raghavan

Yit Phang Khoo

Nishith Aggarwal

A model of a state machine may be created in a modeling environment, and the model may be executed over a simulation time. A duration operator may be defined within the model. The duration operator may include as an input argument, a conditional expression that may evaluate to True or False. During execution, the modeling environment may define a plurality of time steps over the course of the model's simulation time. The conditional expression of the duration operator may be evaluated at the time steps. When the conditional expression evaluates to True, the modeling environment may begin tracking elapsed simulation time, and may continue to track elapsed simulation time while the conditional expression remains True. The value of elapsed simulation time may be made available to other portions of the model.

Conditional-based duration logic

A device receives information that identifies a model, of a finite state machine, that includes information that identifies a parent state and sub-states of the parent state. The device generates a data structure that designates an enumerated data type associated with the parent state, where the enumerated data type includes values corresponding to the sub-states. The device executes the model, based on the data structure, and monitors operation of the finite state machine and state transitions among some of the sub-states. The device detects, based on the state transitions, a change in an active sub-state that represents a particular sub-state, of the sub-states, that is active at a particular time during execution of the model. The device provides state transition information that identifies changes in the active sub-state over time.

Active state visualization for finite state machine models

A device may receive information that identifies a model of a finite state machine. The model may include information that identifies a group of leaf states. The group of leaf states may include states of the model with no child states. The device may determine, based on the information that identifies the model, a set of variables required to store information that identifies an active state of the model. The device may determine a numbering scheme for encoding the group of leaf states. The numbering scheme may be based on the set of variables. The device may encode the group of leaf states based on the numbering scheme. Encoding the group of leaf states may include generating and storing information indicating an association between a leaf state and a value.

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Brookline, MA, United States of America

David B Andrade