Distributed output‐feedback cooperative tracking control of non‐linear multi‐agent systems with unknown actuator failures

Distributed output‐feedback sampled‐data control of nonlinear multi‐agent systems

“…Remark (1) Assumption 1 is necessary for the distributed control of MASs as in References 6,7,9,11,13‐17. If Assumption 1 is not satisfied (i.e., the leader is not the root of directed spanning tree in ), we can see that some followers are not connected to the leader 0.…”

“…This means that it's rather difficult (even impossible) to achieve the desired tracking errors for those followers. Assumption 2 is a natural hypothesis for the output tracking control problem of MASs as in References 9,11,13‐17. (2) In Assumption 3, $$$ {\phi}_{i2}\left({\overline{x}}_{i2}\right) $$$ relies on the unmeasurable state $$$ {x}_{i2} $$$, which unlike the output‐feedback canonical form Reference 29 whose nonlinear functions merely rely on measurable outputs.…”

“…Since it is difficult to obtain all states' information in practical situations, 10 it's inapplicable to research the distributed output‐feedback tracking problem by adopting the methods proposed in References 6‐9. For the distributed output‐feedback tracking control of nonlinear MASs, numerous excellent results have been achieved in References 11‐17. Specifically, the adaptive output‐feedback consensus tracking is considered in Reference 12 and 13 for two kinds of high‐order nonlinear MASs respectively.…”

Distributed output estimation error observer‐based adaptive fault‐tolerant consensus tracking control of multi‐agent systems

“…On the one hand, most existing approaches presume that the entire state and output information can be measured. 11,26,27 However, in order to achieve the considered FTCTC goal, an approach based on the relative output information is more valuable and feasible in some practical applications. On the other hand, most existing observer-based FTCTC schemes are based on state feedback control 12,13,20 or output feedback control 23,24,27,28 in the decentralized structure.…”

Distributed adaptive control for a class of leader–following heterogeneous networks under intermittent communication environment

“…For example, due to the model uncertainties or non‐linearities exist in practical systems, the assumptions on coordination of MASs including the same and exact dynamics in all agent models are rather restrictive. Hence, the research on heterogeneous MASs with uncertainties or non‐linearities has attracted wide attention from experts and scholars [10–16].…”