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Practical adaptive time-varying formation tracking problems for second-order nonlinear multi-agent systems are investigated using neural networks, where the time-varying formation tracking error can be arbitrarily small. Different from the previous work, the states of followers form a predefined time-varying formation while tracking the states of the leader with unknown control input. Besides, the...
Practical time-varying formation tracking analysis and design problems for second-order nonlinear multi-agent systems are investigated by using a novel distributed extended state observer, where the formation tracking error can be arbitrarily small. Different from the previous work on formation tracking problems, the states of followers form a predefined time-varying formation while tracking the state...
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