Finite State Machine
Finite State Machine - Related Videos
07:58
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
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2025
A process is described for acquiring near-real-time metrology of weld beads and prepare the resulting geometry automatically for finite element analysis.
01:20
Finitely Repeated Games
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2025
Repeated games are scenarios where the same game is played multiple times by the same participants. These games are fundamental in understanding how decision-making processes evolve over time. Finitely Repeated Games: These games occur a specific number of times. Consider two software firms that are in competition, releasing updates to their software every quarter. Each quarter, these firms must decide on their strategic approach: they can either invest heavily in developing innovative new...
11:28
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
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Cited by 8 •
2015
The current study prescribes a coupled experiment-finite element simulation methodology to obtain the uniaxial dynamic mechanical response of soft biomaterials (brain, liver, tendon, fat, etc.). The multiaxial experimental results that arose because of specimen bulging obtained from Split-Hopkinson Pressure Bar testing were rendered to a uniaxial true stress-strain behavior when simulated through iterative optimization of the finite element analysis of the biomaterial.
09:02
AC Synchronous Machine Synchronization
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2023
Source: Ali Bazzi, Department of Electrical Engineering, University of Connecticut, Storrs, CT. Three-phase wound-rotor synchronous generators are the main source of electrical power worldwide. They require a prime mover and an exciter in order to generate power. The prime mover can be a turbine spun by fluid (gas or liquid), thus the sources of the fluid can be water running off a dam through a long nozzle, steam from water evaporated using burned coal, etc. Most power plants including coal,...
01:19
Machines
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2023
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces. A free-body diagram of the...
FAQs
They make each permitted change visible and traceable from one state to another. By associating a transition with an input or condition, designers can specify expected behavior rather than leaving sequence implicit. This structure helps analyze complex systems, identify possible responses, and support verification before the system is used in a biological or biomedical setting.
At each step, an input or condition selects the transition rule that determines the next state. The resulting state can also produce an output or trigger an action, so the model links circumstances to system behavior. In a biosensor response, medical-device logic, or laboratory workflow, this separation clarifies which condition causes a change and what action follows, improving consistency in sequential operation.
Discrete states let a model represent meaningful stages of a sequence without treating every possible condition as an undefined transition. This makes progression easier to specify and analyze, whether the sequence concerns cell-cycle progression, a biosensor response, or an automated laboratory workflow. The same representation can then support simulation and control of the modeled process.
Start by listing the relevant discrete states in the process. Then associate each possible input or condition with a transition rule, identify the next state, and specify any output or action. Finally, use the completed structure to simulate behavior, examine control logic, or support verification. This sequence turns a biological or biomedical workflow into an explicit model for analysis.
Finite state machines can represent cell-cycle progression, biosensor responses, medical-device logic, and automated laboratory workflows. Each application uses the state-transition structure to organize events that occur in sequence. In research or design, the model can help specify expected behavior, simulate the process, and support reliable control or verification of the resulting system.
During simulation, researchers can follow the current state, apply the relevant input or condition, and observe the prescribed next state. They can also note whether the transition produces an output or triggers an action. This makes the model useful for checking sequential behavior, informing control decisions, and supporting verification of biological or biomedical system designs.