In this paper, we study the synchronization problem of uncertain networked Lagrangian systems on directed communication topologies. For the nominal model without uncertainties, we propose a backstepping-based synchronization design for heterogenous Lagrangian systems on directed graphs with a spanning tree. We relax earlier constraints on the feedback gain for the distributed synchronization co...

The distributed tracking problem is investigated for a class of multi-agent systems with high-order stochastic nonlinear dynamics where the subsystem of each agent is driven by inherent nonlinear drift and diffusion terms. For the case where the graph topology is directed and the leader is the neighbor of only a small portion of followers, a new distributed integrator backstepping design method...

In this paper the position control of a linear induction motor using adaptive fuzzy backstepping design with integral action is proposed. First, the indirect field oriented control for LIM is derived. Then, an integral backstepping design for indirect field oriented control of LIM is proposed to compensate the uncertainties which occur in the control. Finally, the fuzzy integral-backstepping co...

Abstract: We present a control design to solve the global output feedback stabilization problem of a class of uncertain nonlinear systems. Each system in this class consists of some dynamic uncertainties, linear parametric uncertainties and, most importantly, output-dependent uncertain integrator gains or virtual coefficients. To solve the problem, an observer design is proposed, and the robust...

This paper proposes a methodology–based on convex navigation functions– for three-axis attitude reorientation for a rigid body spacecraft in presence of multiple constraints. In this direction, two types of attitude constrained zones are first defined, namely, the attitude forbidden and mandatory zones. The paper then utilizes a convex parameterization of forbidden and mandatory zones for const...

This paper develops a methodology for recursive construction of optimal and nearoptimal controllers for strict-feedback stochastic nonlinear systems under a risk-sensitive cost function criterion. The design procedure follows the integrator backstepping methodology, and the controllers obtained guarantee any desired achievable level of long-term average cost for a given risk-sensitivity paramet...

In this paper, a hybrid integrator backstepping controller is proposed for robotic manipulators actuated with brushless dc motors in the presence of arbitrary uncertain inertia parameters of the manipulator and the electrical parameters of the actuators. The main features are: 1) the design, requiring at most the joint velocities and stator currents feedback, 2) the semiglobal asymptotic stabil...

sensorless speed torque control of induction machines has been widely used in many industrial applications. the simple method of direct vector control can provide tacholess control as well as more complex approaches. in this method, the motor flux can be obtained by measuring voltage and current and integrating motor back electromotive force. the only required motor parameter is stator resistan...

In this paper a novel neural network (NN) backstepping controller is modified for application to an industrial motor drive system. A control system structure and NN tuning algorithms are presented that are shown to guarantee stability and performance of the closed-loop system. The NN backstepping controller is implemented on an actual motor drive system using a two-PC control system developed a...

Control robustness is study for uncertain nonlinear systems transformed in semi strict feedback systems. An adaptive backstepping sliding mode control and an adaptive backstepping control robustness is considered. Robustness is studied when the unknown parameter are constants and varied. The simulation results prove that the sliding mode control is more robust than the backstepping control to t...