In this paper, a class of uncertain nonlinear multi-agent systems with unknown control directions and dead-zone fault is addressed, where gains exist in each subsystem. terms the approximation characteristic fuzzy logic system, it used to approximate dynamics, then relevant adaptive laws are designed. Considering presence fault, Nussbaum gain function technique introduced design intermediate la...

In this paper, adaptive control is studied for a class of nonlinear discrete-time systems in strict-feedback form with unknown control directions. The system is transformed to an n-step ahead predictor, based on which an adaptive control employing the predicted future states has been proposed. The discrete Nussbaum gain is exploited to overcome the difficulty caused by unknown control direction...

In this paper, output feedback adaptive control is investigated for a class of nonlinear systems in output-feedback form with unknown control gains. To construct output feedback control, the system is transformed into the form of the NARMA (nonlinear-auto-regressive-moving-average) model, based on which future output prediction is carried out. With employment of the predicted future output, a c...