In this article, we study an adaptive finite-time event-triggered command filtered control problem based on output feedback for a class of nonstrict-feedback nonlinear systems with unknown directions. Firstly, the continuous functions in are approached by fuzzy logic systems, and coordinate transformations Nussbaum function technique introduced to settle caused directions systems. Then, order r...

In the article, issues of asymptotic adaptive tracking control for uncertain nonlinear systems in presence actuator faults and unknown directions are investigated. By using properties Nussbaum function backstepping technique, problems resulting from signs functions circumvented successfully. Moreover, a new method is presented with fault-tolerant framework, which capable realising zero-tracking...

This paper investigates the distributed adaptive PI consensus tracking control for output-constrained nonlinear multiagent systems (MASs) with unknown directions and time-varying actuator faults under directed graph. Firstly, an auxiliary filter network is constructed to estimate output of leader. Then, by introducing a state transformation function, asymmetric constraints on agents’ outputs ca...

Abstract: An adaptive iterative learning control(ILC) approach is proposed for a class of uncertain nonlinear systems without prior knowledge about system control directions. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence...