Computational Issues in Intelligent Control: Discrete-Event and Hybrid Systems
X.D. Koutsoukos and P.J. Antsaklis
Soft Computing and Intelligent Systems: Theory and Practice,
N.K. Sinha and M.M. Gupta, Eds., Academic Press, 1999.
Abstract -- Intelligent control methodologies are being
developed to address the control needs of complex systems that
exhibit complicated dynamical behaviors. The design, simulation,
and verification of intelligent control systems in highly nontrivial
and typically involves significant amounts of computations. In this
paper, we identify and discuss how the design, simulation, and
verification of discrete-event and hybrid systems, which are central
in intelligent control, requires the development of computationally
efficient algorithms and approaches. Petri net models are used to
describe discrete event and hybrid systems. Computational issues of
various problems and algorithms concerning the analysis and synthesis
of such systems is discussed. In view of hybrid systems, we also
review basic computational issues for hybrid automata. Finally,
we present a parallel computing architecture for intelligent control
systems and we illustrate its advantages by considering parallel discrete
event simulations.
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