 Artificial immune system (AIS) approaches, which are used in this work, are learning and optimization methods that can be applied to find the solution of many types of optimization problems. This paper presents an AIS approach applied to optimize the design of an incremental discrete variable structure controller (VSC) for minimizing the generalized minimum variance (GMV) strategy. Control de...

This paper presents a state feedback discrete variable structure controller for linear multi-variable systems with unmatched additive uncertainties, a generalization of the controller for single-input systems by Misawa (1997). It is shown that the controller guarantees the attractiveness and invariance of the boundary layer. In contrast to existing schemes, it utilizes one sliding hyperplane re...

The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of controller design and fine-tuning. It uses a series of experiments with no restriction on data generation to design an optimal controller of desired structure without the intermediate plant identification step. The approach is shown to be successful for the design and fine-tuning of a controller for a ...

In this paper, the application of a robust multivariable control system designed for a horizontal variable speed wind turbine is discussed. The control problem presented and the background of the design method is given. A H∞ controller based of a linear model that reduces the mechanical fatigue of the turbine is designed. The alleviation of the mechanical loads could increase the lifespan and t...

A simple technique of designing a robust model reference discrete-time variable structure output tracking controller for a class of perturbed MIMO linear systems is proposed in this paper. Both an adaptive mechanism and a perturbation estimation process are embedded in the proposed control scheme so that the upper bound of the perturbation estimation error is not required. It is shown that the ...