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Asymptotically stable
| Глоссарий по искусственному интеллекту |
A dynamic system, as in a robotics or other control systems, is asymptotically stable with respect to a given equilibrium point if, when the systems starts near the equilibrium point, it stays near the equilibrium point and asymptotically approaches the equilibrium point. see also: robotics.
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Asymptotically, английский
Equilibrium, английский
- Равновесие
- The state of being equally balanced; a state of a body in which the forces acting on it are equally balanced.
- A state of balance
- Равновесие, равновесное состояние ~ of forces равновесие сил
- Literally balance, here balance of forces acting on each other. in a static equilibrium forces compensate each other so that the system is motionless, e.g., a scale at rest. if forces do not compensate each other fully at one instant in time, a system moves until it encounters higher-order constraints, e.g, after starting an engine, it accelerates to a point at which energy supply and work load plus friction are again in balance. in such a dynamic equilibrium, forces complement each other dynamically so that the system`s behavior is repetitive, predictable, does not generate new states and the trajectory follows a regular cycle. e.g., mass production at a well-worked out assembly line, sterotypical conversation within a 28 family, routine administrative procedures. a system may have several distinct equilibria (->polystability). a system in equilibrium conveys no information. one important equilibrium property is stability. homeostasis is a process of interaction favouring an equilibrium.
- The stable state of the system. see: attractor.
- A state of balance in which there is no tendency for change. see disequilibrium.
Approaches, английский
The trenches, zig-zags, saps, and other works, by which a besieger makes good his way up to a fortified place. (see trenches.)
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Disjunctive syllogism, английский
A disjunctive syllogism would be (p or q), -p therefore q.
Factor graph, английский
A factor graph is a bipartate graph with one set of nodes representing the variables in the model and a second set of nodes representing the local (probability) functions representing relationships between the variable nodes. each function nodes is connected to the variable nodes on which it depends. likewise, each variable node is connected to the variables it influences or is influenced by. factor graphs may contain directed edges.
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