in this paper, the problem of finite time stabilization for guidance system is investigated and a novel nonlinear guidance law against maneuvering targets is proposed based on the principles of parallel navigation. the proposed law is developed using two variable structure control techniques. by applying finite time integral sliding mode and combining it with terminal sliding mode, a new guidan...

In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time convergence of the system equilibrium, but also eliminates the singularity problem associated with conventional terminal sliding mode control. Simulations are presented to show the effec...

This paper studies the trajectory tracking control of a space robot system (SRS) in presence lumped uncertainties with no prior knowledge their upper bound. Although some related methods have been proposed, most them either not applied to SRSs or lack rigorous stability proof. Therefore, it is still challenge achieve high accuracy and theoretical proof for SRSs. proposes new integrated neural n...

A high-order sliding mode control algorithm is proposed for nonlinear uncertain systems based on geometric homogeneity and fast terminal sliding mode. Homogeneity approach used to stabilize the nominal system, and fast terminal sliding mode used to reject the uncertainty, are applied to constructing the controller. High-order sliding mode is established by the proposed algorithm, the boundary o...

Sliding mode control design is a powerful method for robust control of nonlinear dynamical systems. We analyze the control of multivariable mechanical systems with less inputs than degrees of freedom. An existing method is based on a separation of the actuated configuration variables from the unactuated variables. It relies on a sliding surface constituted by a linear combination of the control...

An adaptive backstepping terminal sliding mode control (ABTSMC) method based on a multiple−layer fuzzy neural network is proposed for class of nonlinear systems with parameter variations and external disturbances in this study. The utilized to estimate the function handle unknown uncertainties system reduce switching term gain. It has strong learning ability high approximation accuracy due comb...

Based on a novel robust integral sliding mode surface (RISM), method of designing nonlinear robust sliding mode control is presented. Firstly, the closed-loop system under the sliding mode is proved to be asymptotically stable by using Lyapunov stability theories. Then variable structure control (VSC) is constructed to ensure the reachability of the sliding surface. Robustness of the closed-loo...

Orbital stabilization of an underactuated cart-pendulum system is under study. The quasihomogeneous control synthesis is utilized to design a second order sliding mode controller that drives the actuated cart to a periodic reference orbit in finite time, while the non-actuated pendulum produces bounded oscillations. A modified Van der Pol oscillator is introduced into the synthesis as an asympt...