This paper presents an indirect adaptive fuzzy control scheme for a class of single-input-single-output (SISO) nonlinear systems. A Takagi-Sugeno (T-S) fuzzy model is employed as a dynamical model of the partially known nonlinear system. Both the structure and the parameters of the T-S model are identified on-line. A T-S model based feedback linearization controller (FLC) is designed and a Lyap...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

Studies have shown that feedback linearization can provide an effective controller for many types of nonlinear systems. It is known, however, that these controllers are not robust, in particular to model uncertainties as the feedback linearization process involves canceling of nonlinearities in the dynamics using an exact model which is seldom available. Although there are several strategies to...

In this paper, a novel method is developed for designing the output feedback controller for Static Synchronous Series Compensator (SSSC). In the proposed method, the problem of selecting the output feedback gains for the SSSC controllers is changed into an optimization problem with a time domain-based objective function.Then, it is solved by using the particle swarm optimization (PSO) algorithm...

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii CHAPTER 1. INTRODUCTIOIN . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Sensitivity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Robust Feedback Linearization . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Application to Hydraulic System . . . . . . . . . . . . . . . . . . . . . . 5...

Cable robots are structurally the same as parallel robots but with the basic difference that cables can only pull the platform and cannot push it. This feature makes control of cable robots a lot more challenging compared to parallel robots. This paper introduces a controller for cable robots under force constraint. The controller is based on input-output linearization and linear model predicti...

A wheeled mobile robot is subject to both holonomic and nonholonomic constraints. Representing the motion and constraint equations in the state space, this paper studies the feedback linearization of the dynamic system of a wheeled mobile robot. The main results of the paper are: (1) It is shown that the system is not input-state linearizable. (2) If the coordinates of a point on the wheel axis...

The paper deals with a novel fuzzy feedback linearization control of dynamic positioning marine vehicle with the almost disturbance decoupling performance. The main contribution of this study is to construct a controller such that the resulting dynamic positioning marine vehicle is valid for any initial and desired positions with the following characteristics: input-to-state stability with resp...

The problem of stabilization by means of dynamic output feedback is studied for discrete-time delayed systems with possible interval uncertainties. The control is under positivity constraint, which means that the resultant closed-loop system must be stable and positive. The robust resilient controller is respect to additive controller gain variation which also belongs to an interval. Necessary ...

This paper presents a robust adaptive feedback linearizing control law to solve the integrated kinematic and dynamic trajectory tracking problem of nonholonomic mechanical systems in presence of parametric and nonparametric uncertainties. An adaptive nonlinear control law is proposed based on input-output feedback linearization technique to get asymptotically exact cancellation of the parametri...