Modeling and Control of Discrete-event Dynamic Systems
编者:
B. Hrúz and M.C. Zhou
内容简介:
In society today, much of the modern technological infrastructure is event driven where the system outcome is often dependent on a benign sequence of desirable actions taking place. In industry, the action sequence may be highly structured and deterministic but, elsewhere in the community, the action sequence may be fuzzy or even stochastic, making the constraint of a safe system control sequence a much more difficult task. Many of the sequential event-driven systems found today, may be modelled as discrete-event dynamic systems (DEDS). The characterising features of DEDS are discrete states that capture the status to change value at discrete time points. In DEDS, the (logical) conditions that lead to
individual or sets of events being activated to generate a sequence of changing system states is an important part of the system and its mathematical model. This viewpoint contrasts with much of the standard control literature which is often dominated by the exhaustive treatment of systems described by linear or nonlinear ordinary differential equations systems or even, occasionally, spatially-dependent partial differential equation systems.