It really depends on what you want in terms of implementation. On one hand, a big chunk of digital logic is about implementing large, high-speed state machines using circuits.
On the other hand, regular expressions and things like lexers are largely based on finite-state machines so there is a ton of information related to those, but they often implement things more complex than finite-state machines in order to be more expressive.
In terms of manually implementing them yourself, I think the naive implementation based on the mathematical definition of a deterministic finite automata is pretty good for a small number of states for things like tracking program state. In particular, explicitly listing the total set of expected inputs/transition criteria, explicitly listing the states, and having a single function that takes the current state and current transition-relevant data and produces a new state.
This representation is nice because it makes the behavior inspectable in one location. This makes it easier to notice the edge cases and prevent the state representation and possible transitions from getting spread all over code. The transition function can be a switch statement or a table. Really any way of writing a two-input function with a finite number of inputs and outputs will work. Many people have also explored strongly-typed versions of this, which are worth a look as well.
On the other hand, regular expressions and things like lexers are largely based on finite-state machines so there is a ton of information related to those, but they often implement things more complex than finite-state machines in order to be more expressive.
In terms of manually implementing them yourself, I think the naive implementation based on the mathematical definition of a deterministic finite automata is pretty good for a small number of states for things like tracking program state. In particular, explicitly listing the total set of expected inputs/transition criteria, explicitly listing the states, and having a single function that takes the current state and current transition-relevant data and produces a new state.
This representation is nice because it makes the behavior inspectable in one location. This makes it easier to notice the edge cases and prevent the state representation and possible transitions from getting spread all over code. The transition function can be a switch statement or a table. Really any way of writing a two-input function with a finite number of inputs and outputs will work. Many people have also explored strongly-typed versions of this, which are worth a look as well.