A cooperative system is a collection of dynamical objects, which
communicate and cooperate in order to achieve a common or shared
objective. The cooperation of entities is achieved through
communication; either explicitly by message passing, or implicitly
via observation of another entities' state. As in natural systems,
cooperation may assume a hierarchical form and the control
processes may be distributed or decentralized. Due to the dynamic
nature of individuals and the interaction between them, the
problems associated with cooperative systems typically involve many
uncertainties. Moreover, in many cases cooperative systems are
required to operate in a noisy or hazardous environment, which
creates special challenges for designing the control process.
During the last decades, considerable progress has been observed
in all aspects regarding the study of cooperative systems including
modeling of cooperative systems, resource allocation, discrete
event driven dynamical control, continuous and hybrid dynamical
control, and theory of the interaction of information, control, and
hierarchy. Solution methods have been proposed using control and
optimization approaches, emergent rule based techniques, game
theoretic and team theoretic approaches. Measures of performance
have been suggested that include the effects of hierarchies and
information structures on solutions, performance bounds, concepts
of convergence and stability, and problem complexity. These and
other topics were discusses at the Second Annual Conference on
Cooperative Control and Optimization in Gainesville, Florida.
Refereed papers written by selected conference participants from
the conference are gathered in thisvolume, which presents problem
models, theoretical results, and algorithms for various aspects of
cooperative control.
Audience: The book is addressed to faculty, graduate students,
and researchers in optimization and control, computer sciences and
engineering.
General
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