The paper presents a new approach to design nonlinear controller for switched reluctance motors (SRMs) based on backstepping technique and artificial neuron network (ANN) in flux estimator. Backstepping with an ANN estimator will be applied controlling SRMs which have drive model. was trained off-line using backpropagation algorithm. stability of the closed control loop analyzed proved accrodin...

Kinesins move processively toward the plus end of microtubules by hydrolyzing ATP for each step. From an enzymatic perspective, the mechanism of mechanical motion coupled to the nucleotide chemistry is often well explained using a single-loop cyclic reaction. However, several difficulties arise in interpreting kinesin's backstepping within this framework, especially when external forces oppose ...

Abstract: We consider a feedback control problem of first-order coupled hyperbolic partial integrodifferential equations with distributed and boundary inputs. As the distributed inputs to the system, the output feedback control is first applied under zero boundary inputs. Then, we apply a backstepping method to the design of the boundary inputs. Our main result shows that, for any initial data ...

In this paper, the robust adaptive control scheme based on adaptive backstepping design is used to control the autonomous second order strict feedback form such as the Lorenz Chaotic system. The design procedure is recursive; at the i step, the i subsystem is stabilized with respect to a Lyapunov function Vi by the design of a stabilizing function αi, tuning function τi, and the update law ̇̂ θi ...

This paper presents an adaptive nonlinear controller for Doubly-Fed Induction Generator (DFIG) in wind power generation. The control objective is to extract the maximum power (Maximum Power Point Tracking) and have a specified reactive power at the generator terminal despite the variable wind speed and the unknown mechanical parameters and mechanical torque. To achieve such a decoupled control,...

Backstepping design for robust stabilizing control of nonlinear systems with time-delay is investigated in this paper. It is shown that the backstepping design for time-delay systems based on the Lyapunov-Razumikhin function is not a trivial extension of the case of nonlinear nondelay systems due to the existence of the Razumikhin condition. The key point is how to deal with the non-triangular ...

In this paper, we present a new contribution for the control of Wind-turbine energy systems, a nonlinear robust control of active and reactive power by the use of the Adaptative Backstepping approach based in double-fed asynchronous generator (DFIG-Generator). Initially, a control strategy of the MPPT for extraction of maximum power of the turbine generator is presented. Thereafter, a new contr...

As an object of course control, the ship is characterised by a nonlinear function describing static manoeuvring characteristics that reflect the steady-state relation between the rudder deflection and the rate of turn of the hull. One of the methods which can be used for designing a nonlinear ship course controller is the backstepping method. It is used here for designing two configurations of ...

In this paper, an ISS-modular adaptive neural tracking control approach is presented for a class of completely non-affine pure-feedback systems combining backstepping with input-to-state stability (ISS) and small gain theorem. From the second step of backstepping, correlative interconnection terms are defined and introduced in implicit functions. Since the introduction of the correlative interc...