In order to improve the design method of robust controller for ship course-keeping, a nonlinear controller design is presented by combining neural network (NN) approximator with adaptive Backstepping technology. The simulation research is carried out based on the training ship "Yu long" of Dalian Maritime University as an example. The results show that the control algorithm has good adaptabilit...

We consider the stabilization for 1-D hyperbolic differential equations with boundary input including a nonlinear disturbance. The time varying extended state observer (ESO) is designed to estimate the disturbance. Based on the estimated disturbance, we obtain an explicit controller by applying the backstepping method. It is shown that the closed-loop system of the 1-D hyperbolic differential e...

This paper presents a robust backstepping adaptive controller to overcome the overparameterization problem in adaptive control of nonlinear discrete-time systems. It is shown that the proposed controller can guarantee the global boundedness of the states of the whole adaptive system in the presence of time-varying parametric and nonparametric uncertainties. It can also ensure that the tracking ...

In this paper, a biologically motivated controller based on mammalian limbic system called Brain Emotional Learning Based Intelligent Controller (BELBIC) is used for velocity control of an Electro Hydraulic Servo System (EHSS) in presence of flow nonlinearities, internal friction and noise. It is shown that this technique can be successfully used to stabilize any chosen operating point of the s...

This paper designs an adaptive sliding mode dynamic controller for the trajectory tracking of wheeled mobile robot. First, a kinematic controller based on backstepping technique is introduced to make the WMR follow a reference trajectory. Secondly, an adaptive sliding-mode dynamic controller (ASMDC) is proposed to make the actual velocity of the WMR reach the velocity command even in presence o...

In this paper, a robust adaptive backstepping-based controller is developed for positioning the spool valve of Electro-Hydraulic Servo System (EHSS) with parameter fluctuations. Artificial Bee Colony (ABC) algorithm is utilized to drive the parameters of the proposed controller to a good neighborhood in the solution space. The optimization problem is formulated such that both the tracking error...

When a mobile robot inspects tasks with complex requirements indoors, the traditional backstepping method cannot guarantee accuracy of trajectory, leading to problems such as instrument not being inside image and focus failure when grabs high zoom. In order solve this problem, paper proposes an adaptive based on double Q-learning for tracking controlling trajectory robots. We design incremental...

In this study, an adaptive Neural Network (NN) based backstepping controller is proposed to realize chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons with uncertain time delays. In the designed backstepping controller, a simple Radial Basis Function (RBF) NN is used to approximate the uncertain nonlinear part of the error dynamical system. The weights of the NN are...

This paper illustrates the potential of nonlinear model-based control applied for stabilization of unstable flow in oil wells. A simple empirical model is developed that describes the qualitative behavior of the downhole pressure during severe riser slugging. A nonlinear controller is designed by an integrator backstepping approach, and stabilization for open-loop unstable pressure setpoints is...

In this paper; we are interested principally in dynamic modelling of quadrotor while taking into account the high-order nonholonomic constraints in order to develop a new control scheme as well as the various physical phenomena, which can influence the dynamics of a flying structure. These permit us to introduce a new state-space representation. After, the use of Backstepping approach for the s...