an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

The static output feedback problem is one of the most important open questions in control engineering, [13]. Several solutions to this problem are available. The necessary and sufficient conditions for static output feedback stabilizability of linear continuous or discrete-time systems are given in [6] and [10] with iterative procedure to output feedback controller design. An approach based on ...

This paper addresses the input-output decoupling problem for discrete-time nonlinear systems by measurement feedback. Necessary and sufficient conditions are given to solve the problem by static or dynamic measurement feedback, respectively. Since the dynamic measurement solution presented here depends on the solution of the input-output linearization problem, a sufficient condition for lineari...

In this paper, a nonlinear adaptive speed controller for a permanent magnet synchronous motor (PMSM) based on a newly developed adaptive backstepping approach is presented. The exact, input-output feedback linearization control law is first introduced without any uncertainties in the system. However, in real applications, the parameter uncertainties such as the stator resistance and the rotor f...

1729 For the third term on the RHS of (39), by 2) of Lemmas 1 and 4 we have (41) where is given in Theorem 1. In this paper, we have studied the adaptive control of a class of discrete-time stochastic nonlinear systems whose nonlinearities satisfy the linear growth condition. (This condition cannot be essentially relaxed in general as recently shown in [13].) The prediction/WLS-based adaptive c...

High-performance motion control applications require precise tracking of rapidly changing speed/position and flux trajectories. In this short paper, we present an energy-shaping controller and an input-output linearization controller for current-fed induction motors. Induction motor can be represented as the negative feedback interconnection of passive electrical and mechanical subsystems [1, 2...

 Two passivity-based controllers and an input-output linearization controller for current-fed saturated induction motors are presented. Advantages and disadvantages of the controllers are discussed. Finally, experimental results obtained with one of the passivity-based controllers are presented.

This paper presents necessary and sufficient conditions for the local linearization of dynamics transverse to an embedded submanifold of the state space. The main focus is on output maneuver regulation where stabilizing transverse dynamics is a key requirement.

In this contribution a numerical method for deriving an approximate input-output linearizing controller for minimum phase systems is presented. The approach is based on the derivation of a bilinear approximation model of higher order, which approximates the considered system on a prespecified multivariable state-space interval. By means of the exact input-output linearizing state feedback of th...

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...