This paper proposes an adaptive sliding backstepping control law for quadcopter attitude control. By employing adaptive elements in the sliding mode control formulation the proposed control law avoids a priori knowledge of the upper bounds on the uncertainty. The controller we propose can be used for systems that are in strict feedback form with matched uncertainties. Numerical simulations show...

It is proved that the transient performance of nonlinear adaptive backstepping can be improved by resetting the parameter estimator, without loss of stability. The estimator resetting algorithm is based on multiple model adaptive control, where a number of models with xed parameter vectors are monitored online in order to detect parameter vectors that gives a negative jump in the control Lyapun...

This paper presents an adaptive nonlinear position controller with velocity constraint, capable of combining the input-output linearization technique and Lyapunov stability theory. Based on the Lyapunov stability theory, the adaptation law of the proposed controller is derived along with the verification of the overall system’s stability. Computer simulation results demonstrate that the propose...

This paper deals with the backstepping approach for the design of adaptive discontinuous time-invariantcontrollersfor the point-stabilizationof mobile robotswith matched uncertainties. First of all, we derive a control law in the disturbance-freecase guaranteeingexponential convergence for a unicycle-likemobile robot. Furthermore, an adaptive version of the previous control law is proposed when...

In this paper, an observer-based adaptive fuzzy robust controller is proposed for trajectory tracking control of a bionic mechanical leg (BML) with unmeasured system states, dynamic uncertainties and external disturbances. A high gain observer (HGO) constructed to estimate the unavailable joint velocities using position feedback signals, while logic (AFLS) employed address lumped uncertainties....

Flight control of hypersonic vehicles is challenging because of the wide range of operating conditions encountered and certain aspects unique to high speed flight. A particular safety concern in hypersonic flight is the risk of an inlet unstart, which not only produces a significant decrease in thrust but also results in a change to the aerodynamics and thus can lead to the loss of the vehicle....

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

In this Letter a feedback linearizing adaptive control system for the control of Chua’s circuits is presented. It is assumed that all the parameters of the system are unknown. Using a backstepping design procedure, an adaptive control system is designed which accomplishes trajectory control of the chosen node voltage by an independent voltage source. Simulation results are presented which show ...

By means of two examples we show that non-singular costs can been reduced for adaptive controllers by overparameterising the estimators. The examples are for scalar and second order systems respectively. In the second example the tuning function design and the overparameterised adaptive backstepping design are compared. In both cases a system is constructed for which the overparameterised desig...

in this research, first, kinematic and dynamic equations of a 4-dof 3-link robotic finger are derived using denavit-hartenberg convention and lagrange’s formulation. to model the muscles, several springs and dampers are placed between the finger links. then, two advanced controllers, namely adaptive-robust and adaptive-neural, which can control the robotic finger in presence of parametric uncer...