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This book provides the fundamental theory of distributed
optimization, game and learning. It includes those working directly
in optimization,-and also many other issues like time-varying
topology, communication delay, equality or inequality
constraints,-and random projections. This book is meant for the
researcher and engineer who uses distributed optimization, game and
learning theory in fields like dynamic economic dispatch, demand
response management and PHEV routing of smart grids.
This book provides the fundamental theory of distributed
optimization, game and learning. It includes those working directly
in optimization,-and also many other issues like time-varying
topology, communication delay, equality or inequality
constraints,-and random projections. This book is meant for the
researcher and engineer who uses distributed optimization, game and
learning theory in fields like dynamic economic dispatch, demand
response management and PHEV routing of smart grids.
Second-Order Consensus of Continuous-Time Multi-Agent Systems
focuses on the characteristics and features of second-order agents,
communication networks, and control protocols/algorithms in
continuous consensus of multi-agent systems. The book provides
readers with background on consensus control of multi-agent systems
and introduces the intrinsic characteristics of second-order
agents' behavior, including the development of continuous control
protocols/algorithms over various types of underlying communication
networks, as well as the implementation of computation- and
communication-efficient strategies in the execution of
protocols/algorithms. The book's authors also provide coverage of
the frameworks of stability analysis, algebraic criteria and
performance evaluation. On this basis, the book provides an
in-depth study of intrinsic nonlinear dynamics from agents'
perspective, coverage of unbalanced directed topology, random
switching topology, event-triggered communication, and random link
failure, from a communication networks' perspective, as well as
leader-following control, finite-time control, and global consensus
control, from a protocols/algorithms' perspective. Finally,
simulation results including practical application examples are
presented to illustrate the effectiveness and the practicability of
the control protocols and algorithms proposed in this book.
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