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Swarm system, also known as multi-agent system, refers to a system
composed of multiple subsystems (agents) with certain
communication, calculation, decision-making, and action
capabilities through local information interaction, such as a group
of unmanned aerial vehicles (UAVs), unmanned ground vehicles
(UGVs), satellites, etc. Formation tracking control of swarm
systems is an important technical support and approach for the
emergence of swarm intelligence at motion control level. By
applying formation tracking control, swarm system agents can adjust
their relations in the state or output space through neighboring
information interaction, and then the swarm system can achieve
favorable space-time conditions for many cooperative tasks such as
source seeking, target enclosing, and surveillance. Thus, complex
missions can be performed efficiently or cost-effectively. In
cross-domain collaborative applications, including air-ground
coordination and air-sea coordination, swarm systems are usually
composed of several heterogeneous agents, and swarm intelligence
can be enhanced by complementary functions of different agents. How
to achieve time-varying formation tracking for heterogeneous swarm
systems is crucial for cross-domain coordination, which has
important theoretical value and practical significance. This
important book presents a systematic theoretical approach and
control framework on the time-varying formation tracking for
high-order heterogeneous swarm systems. Distributed controller
design and stability analysis of closed-loop systems for several
specific formation tracking problems are provided. Furthermore, the
proposed control approaches are applied to practical cooperative
experiment platforms composed of UAVs and UGVs, and several
formation tracking experiments are carried out to further verify
the effectiveness of the theories.
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