Hybrid supervisory systems integrate and exchange information
between discrete- and continuous-data-based controllers and
subsystems. Application areas include process, manufacturing and
service industries, healthcare, telecommunication, transportation
and logistics, among others.
From the hardware point of view, the rapid progress of
information-processing power and its commercial availability has
made possible the development of complex supervisory systems. Many
barriers that restrained the evolution of supervisory systems in
the past have been removed by the recent popularisation of the
open-system paradigm. On the other hand, software has not followed
the evolution in hardware and both the industrial and scientific
communities have pointed out the need for a generic approach that
guides the development of hybrid supervisory systems.
Modelling and Analysis of Hybrid Supervisory Systems introduces
a modelling formalism that merges Petri nets, differential equation
systems and object-oriented methods; a formalism that is adequate
for modelling complex and large-scale systems. To guide the
designer and conduct hybrid modelling, the book describes a method
that starts from the requirements of a supervisory system and
results in a proposal for such a system. The method is mainly based
on Unified Modelling Language diagrams, well-known tools in both
academia and industry. In order to ensure that the supervisory
system will behave as expected under any operational circumstances,
a validation procedure that allows verification of the formal
properties of the hybrid model is presented.
In building a bridge between what is developed in academic
research and what is available to theindustrial professional, this
monograph places particular emphasis on the description of
real-world examples; three of these a" an HVAC management system, a
landing system and a cane-sugar factory a" are discussed at length.
It will interest academic researchers working with hybrid systems
and their applications and will answer the need of industry-based
engineers to unify their control of continuous- and discrete-event
systems.
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