Abstract--This paper addresses the feedforward/output feedback control problem for single-input singleoutput minimum-phase nonlinear processes. Combination of dynamic feedforward/static state feedback laws and state observers is employed to synthesize nonlinear dynamic feedforward/output feedback controllers that completely eliminate the effect of measurable disturbances and induce a desired in...

This paper presents two types of nonlinear controllers for an autonomous quadrotor helicopter. One type, a feedback linearization controller involves high-order derivative terms and turns out to be quite sensitive to sensor noise as well as modeling uncertainty. The second type involves a new approach to an adaptive sliding mode controller using input augmentation in order to account for the un...

Feedback linearization has several extensions and approximate feedback linearization is one of actively studied areas. In [2], [4], a framework of approximate feedback linearization was established and a locally stabilizing controller was designed, respectively. In [3], the class of systems in parametric feedback form were considered and an adaptive controller was suggested. Then, this work has...

Background:Despite some successful dynamic simulation of self-impact double pendulum (SIDP)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion.Objective :The main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by modelin...

In this work, we consider nonlinear singularly perturbed systems with time-varying uncertain variables, for which the fast subsystem is asymptotically stable and the slow subsystem is input/output linearizable and possesses input-to-state stable (ISS) inverse dynamics. For these systems, we synthesize a robust output feedback controller that ensures boundedness of the state and enforces robust ...

Recently, the linearization of a class of unknown discrete-time dynamic systems has achieved considerable topics for the controller design. The unknown functions after system linearization have been estimated by several methods including artificial intelligence techniques such as neural networks, fuzzy logic systems and neurofuzzy networks. In a number of published articles, the issues of syste...

This paper describes a robust approach exploiting input-output decoupling controller for mobile manipulators. The robust controller consists of using a classical proportional-derivative (PD) feedback structure to stabilize the position error plus an additional disturbance observer (DOB) to compensate external disturbances and uncertainties. Simulation results on a mobile platform with 2-DOF man...

Designing a robust tracking control for a non-linear MIMO system with uncertainty is one of the most complicated control problems. In this paper, sliding mode changed to non-linear controllable canonical form by input-output linearization. This, sliding surfaces can be defined in a way that we can de-couple equations and indicate the sliding conditions of multi-variable controller system. The u...