In this paper, an adaptive neural network (NN) controller is proposed for a class of nonlinear
active suspension systems (ASSs) with hydraulic actuator. To eliminate the problem of …

In this paper, a robust adaptive control strategy using a fuzzy compensator for MEMS triaxial
gyroscope, which has system nonlinearities, including model uncertainties and external …

In this paper, an adaptive neural-network (NN) output feedback optimal control problem is
studied for a class of strict-feedback nonlinear systems with unknown internal dynamics …

This paper deals with the design of adaptive fuzzy dynamic surface control for uncertain
strict-feedback nonlinear systems with asymmetric time-varying output constraints in the …

This paper presents an adaptive fuzzy integral backstepping control strategy combined with
command filter to solve trajectory tracking problem of quadrotor unmanned aerial vehicle …

In this paper, a dynamic surface control (DSC) based adaptive fuzzy backstepping method is
proposed for induction motors with iron losses in electric vehicle drive systems. The DSC is …

This paper focuses on dynamic learning from neural control for a class of nonlinear strict-
feedback systems with predefined tracking performance attributes. To reduce the number of …

This paper investigates the reinforcement learning (RL)-based adaptive fuzzy optimization
control problem for third-order nonlinear vehicle platoon. The unknown nonlinear dynamic is …

The problem of event-triggered prescribed performance control for a class of uncertain
nonlinear systems with unknown control directions and faults is investigated. Compared with …

For the existing adaptive constrained robotic control algorithms, the demanding “feasibility
conditions” on virtual controller is normally inevitable and the extra limits on constraining …