In our daily lives, it is indeed impossible to ignore the influence of technological products. From simple vending machines to complex electric vehicles, countless devices hide a common foundation: Finite-State Machine (FSM) . The universality of this mathematical model not only gives rise to countless applications in modern technology, but also allows us to think about how it can work in these different contexts.
A finite state machine is an abstract computer model that can be in only one of a finite number of states at any one time.
The basic concept of a finite state machine is that it operates based on the concepts of "state" and "input". A device can change its state in response to different inputs, and this state transition is called a "transition". For example, a vending machine will transition to an "operating" state after receiving enough coins and dispense products based on the customer's selection. Similarly, the elevator changes its action according to the floor request, which is achieved through a finite state machine.
Finite state machines can be divided into two main categories: deterministic finite state machines (DFA) and non-deterministic finite state machines (NFA). Whether DFA or NFA, finite state machines can efficiently handle predefined behaviors.
The functions described by FSM are indispensable in many electronic devices, especially in control systems.
Consider, for example, a coin-operated turnstile. This turnstile has two states: locked and unlocked. In the locked state, customers cannot pass through. Only after tossing a coin will the turnstile switch to the unlocked state, allowing customers to enter.
In modern applications, the application of finite state machines has extended to fields such as computer science, engineering, and even biology, constantly promoting the advancement of science and technology.
In computer science, finite state machines are often used to model application behavior, design digital hardware systems, and write compilers. They efficiently handle event-driven systems and allow for predetermined responses to specific input conditions.
In addition, FSM also facilitates the construction of virtual finite state machines. This allows developers to design complex systems more efficiently without having to redesign the underlying logic from scratch. This is because complex operations can often be broken down into simpler states and transitions.
Today, this concept is used in a wide range of industries, from traffic signal control systems to biomedical engineering. Because of this, finite state machines play a key role in the development of technology.
In fact, whether it is dealing with simple switch control or complex program operation, the flexibility and simple and clear traits of the finite state machine enable it to meet many different needs. This makes us wonder whether future technological advances will continue to rely on this model and bring about leapfrog innovations?