This paper presents hyperchaos anti-synchronization of different hyperchaotic systems using Active Generalized Backstepping Method (AGBM). The proposed technique is applied to achieve hyperchaos antisynchronization for the Lorenz and Lu dynamical systems. Generalized Backstepping Method (GBM) is similarity to Backstepping and more applications in systems than it. Bckstepping method is used only...

An adaptive backstepping fuzzy-immune controller for a class of chaotic systems is proposed. An adaptive backstepping fuzzy method and adaptive laws are used to approximate nonlinear functions and the unknown upper bounds of uncertainty, respectively. The proposed adaptive backstepping fuzzy-immune controller guarantees the stability of a class of chaotic systems while maintaining good tracking...

This paper examines the proposed integrated backstepping design of missile guidance and control to the engagement of manoeuvring targets. To control engagement geometry, impact-anglecontrol guidance (IAGC) is analysed in two dimensional geometry. The integrated backstepping design with disturbance observer is then developed and interpreted in view of stability and robustness. The performance of...

In this paper we consider the benchmark nonlinear control problem and use backstepping to design several active controllers for tracking and disturbance attenuation; these two problems are much more challenging than stabilization. We show that the significant flexibility of backstepping can be exploited to reduce the required control effort and to eliminate the winding problem. ( 1998 John Wile...

~~ This paper focuses on the problem of controlling DC-to-DC switched power converters of Buck type. The system nonlinear feature is coped with by resorting to the backstepping control approach. Both adaptive and nonadaptive versions are designed and shown to yield quite interesting tracking and robustness performances. A comparison study shows that backstepping nonlinear controllers perform as...

Due to uncertainties exist in the applications of the a permanent magnet linear synchronous motor (PMLSM) servo drive which seriously influence the control performance, thus, an integral backstepping control system using adaptive recurrent neural network uncertainty observer (RNNUO) is proposed to increase the robustness of the PMLSM drive. First, the field-oriented mechanism is applied to form...

In this paper, we consider the L∞-bounded robust control problem for a class of nonlinear cascade systems with disturbances. Sufficient conditions are provided under which a hard bound is imposed on the system performance measure. The backstepping approach is used for controller design. Examples are provided to illustrate the method. Key-words. Nonlinear cascade systems, L∞ bound, robust contro...

Development of a cascade controller structure including adaptive backstepping for a nonlinear hydraulic-mechanical system is considered in this paper where a dynamic friction (LuGre) model is included to obtain the necessary accuracy. The paper compares the performance of two variants of an adaptive backstepping tracking controller with earlier results. The new control architecture is analysed ...

An intelligent backstepping sliding-mode control system using radial basis function network (RBFN) for a two-axis motion control system using permanent magnet linear synchronous motors (PMLSMs) is proposed. First, single-axis motion dynamics with the introduction of a lumped uncertainty, including cross-coupled interference between the two-axis mechanism, is derived. Then, to improve the contro...

Abstract: This paper presents the backstepping nonlinear control applied to induction motor with on-line adaptation of rotor resistance using a backstepping observer type. This type of control proposed an analysis based primarily on the stability of the system from the Lyapunov theory. This approach takes into account the nonlinearity of the system when designing the control law. The effectiven...