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In systems theory, a system or a process is in a steady state if the variables (called state variables) which define the behavior of the system or the process are unchanging in time. In continuous time, this means that for those properties p of the system, the partial derivative with respect to time is zero and remains so:
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Steady state | is a | more general situation than dynamic equilibrium | 0.90 | text |
| Steady state | is a | equilibrium condition of a circuit or network that occurs as the effects of transients are no longer important | 0.90 | text |
| Steady state | is a | situation in which all state variables are constant in spite of ongoing processes that strive to change them | 0.90 | text |
| in the case of sustained oscillations or bistable behavior.PhysiologyHomeostasis | instance of | a steady state can be stable or unstable | 0.80 | text |
| in the case of sustained oscillations or bistable behavior | instance of | a steady state can be stable or unstable | 0.80 | text |
| Steady state | related to Biochemistry | In | 0.60 | section |
| Steady state | related to Biochemistry | Such | 0.60 | section |
| Steady state | related to Biochemistry | Many | 0.60 | section |
| Steady state | related to Biochemistry | As | 0.60 | section |
| Steady state | related to Biochemistry | This | 0.60 | section |
| Steady state | related to Chemical engineering | In | 0.60 | section |
| Steady state | related to Chemical engineering | For | 0.60 | section |
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