This paper presents a variation on adaptive backstepping output feedback control design for uncertain minimum-phase linear systems. Unlike the traditional nonlinear design, the proposed control method is linear and Lyapunov-based without utilizing overparametrization, tuning functions, or nonlinear damping terms to address parameter estimation error. Local stability of the closed-loop system an...

This paper investigates the problem of adaptive neural networks output feedback control for a class of stochastic nonlinear system with unmodeled dynamics and unmeasured states. To avoid the problem of ‘explosion of complexity’ inherent in the conventional backstepping design procedure, the dynamic surface control (DSC) technique is applied to the control design of the investigated systems with...

The problem of stabilization and trajectory tracking of feedback linearizable systems in the presence of input saturation is considered in this paper. The need to perform output tracking for nonlinear systems dictates the choice of feedback linearization in our control design. Explicit characterization of the space of feasible trajectories that can be tracked using bounded inputs is provided.

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

To solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control (DTC), a novel DTC method using space vector modulation (SVM) is proposed based on input– output feedback linearization technique, where hysteresis controller is substituted by input–output feedback linearization and switch table is substituted by SVM. In order to preserv...

This is the second part of a paper, divided in two parts, dealing with the application of the input–output feedback linearization (FL) control technique to linear induction motors (LIMs). The first part has treated the theoretical formulation of the input–output feedback linearization control technique as to be applied to linear induction motors. This second part describes the set of tests, bot...

A control synthesis scheme for the feedback linearization of single-input single-output nonlinear systems subject to constraints is presented. The approach requires an external, statedependent saturation element, which translates the actuator bounds to the feedback linearizing control input. Thus the \linearizing" properties of the di erential geometric controller are preserved, and a linear an...

a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...