Sampled‐data output feedback leader‐following consensus for a class of nonlinear multi‐agent systems with input unmodeled dynamics

Abstract

This investigation focuses on the sampled‐data output feedback consensus problem for a class of second‐order nonlinear multi‐agent systems with uncertain time‐varying control coefficient and input unmodeled dynamics. In the considered multi‐agent system, the nonlinearities are more stronger than those under the Lipschitz condition, and the existence of the uncertain time‐varying control coefficient causes the invalidation of the full‐order observer. Under such situation, the reduced‐order observers are designed, and the filters are introduced to handle the uncertainties of the input unmodeled dynamics. By adopting the backstepping method, the sampled‐data consensus protocols are developed, and by selecting an appropriate Lyapunov function candidate, we can demonstrate that the practical leader‐following consensus can be achieved for the considered multi‐agent system by the developed protocols with the suitable design constants and an allowable sampling period. Finally, the effectiveness of the proposed consensus method is illustrated by two simulation examples.

Finite‐time adaptive quantized control of stochastic nonstrict‐feedback constrained nonlinear systems with multiple unmodeled dynamics

“…Unmodeled dynamics existing in dynamic nonlinear systems are generally classified into two categories, including input unmodeled dynamics and state unmodeled dynamics. To deal with these unmodeled dynamics, normalized signals [18][19][20] are introduced to handle input unmodeled dynamics, dynamic signals [21][22][23] are introduced to handle state unmodeled dynamics. It is worth noting that there are few specific research articles discussing state unmodeled dynamic subsystems with stochastic perturbations.…”

Switched Fractional Order Multiagent Systems Containment Control with Event-Triggered Mechanism and Input Quantization

“…Multiagent systems (MASs) cooperative control technology has been widely used in many fields [1][2][3][4]. As the most basic research content of multiagent cooperative control, the consensus problem has made much progress [5][6][7][8][9][10][11].…”

Robust adaptive control of uncertain nonlinear systems with unmodeled dynamics using command filter

“…However, filter errors are introduced, which may lead to the deterioration of control performance. In Reference 22, the system considered is low order, while in this article, the system is in high‐order form, where the explosion of complexity exists and needs to be dealt with by command filters. Therefore, to tackle this issue, this article utilizes command filters, which are usually used to tackle issues of the explosion of complexity 23‐25 .…”