Event-triggered cooperative stabilization of multiagent systems with partially unknown interconnected dynamics

Compound conditions event‐triggered tracking control for nonlinear multiagent systems with nonlinear output faults

“…Compared with References 35 and 36 that threshold conditions contain many parameters. A compound conditions ET mechanism which integrates the state triggered and the controller triggered simultaneously is proposed, which effectively reduces the parameters involved in threshold conditions and the amount of transmission data.…”

“…The capital contributions of this article are listed as follows. Different from the literature, 23 the state triggered method in this article can avoid the problem that the signal does not update or the update density is too high due to insufficient generalization of fuzzy logic systems. Compared with References 35 and 36 that threshold conditions contain many parameters. A compound conditions ET mechanism which integrates the state triggered and the controller triggered simultaneously is proposed, which effectively reduces the parameters involved in threshold conditions and the amount of transmission data. A more practical nonlinear fault is solved to ensure the system performance.…”

Distributed adaptive controller for the cooperative control of networked parametric strict feedback systems

“…[1][2][3][4] Early researchers mainly focused on the cooperative control of multiple linear systems. [5][6][7] With the development of system identification and control method, nonlinear systems with uncertainties have been the hotspot of cooperative control, for example modeling uncertainty 8 and input saturation 9 are considered in leader-follower multiagent system, tracking control of nonholonomic aircraft in unknown flow field, 10 formation control in multiagent systems with nonmatching disturbances, 11 stabilization problem of multiagent systems subject to unmatched modeling uncertainties, 12 antidisturbance control problems under hybrid switching, 13 output regulation for networked parabolic systems with varying parameters, 14 and consensus tracking control of switching systems subject to external disturbancse 15 . In addition, in practical applications, the study of systems affected by uncertainty is also crucial, such as the study of tracking control of rehabilitation exoskeleton robot with dynamic uncertainty, 16 and the study of vehicle queue control with unknown parameters and time delays.…”

An internal‐model‐based event‐triggered strategy for rendezvous with connectivity preservation problem of multi‐agent systems

“…For example, 4,5 provided event‐triggered and self‐triggered control strategies with dynamic triggering functions. Event‐triggered mechanisms were also designed for homogeneous linear multi‐agent systems in References 6‐10. Note that References 8 and 9 respectively proposed dynamic event‐triggered state‐feedback control and output feedback control design, while Reference 10 proposed a cooperative control strategy for the stabilization problem of multi‐agent systems subject to both matched and unmatched modeling uncertainties by mixed graph theorey and optimal control, and Reference 11 designed sampled‐data control for the consensus problem of network systems with partial coupling nodes.…”

“…Event‐triggered mechanisms were also designed for homogeneous linear multi‐agent systems in References 6‐10. Note that References 8 and 9 respectively proposed dynamic event‐triggered state‐feedback control and output feedback control design, while Reference 10 proposed a cooperative control strategy for the stabilization problem of multi‐agent systems subject to both matched and unmatched modeling uncertainties by mixed graph theorey and optimal control, and Reference 11 designed sampled‐data control for the consensus problem of network systems with partial coupling nodes. For multiple heterogeneous linear systems, 12 solved the cooperative output regulation problem by a distributed design of predictors, observers, detectors and controllers.…”