In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

Doubly-fed induction generator (DFIG) based wind turbines with traditional maximum power point tracking (MPPT) control provide no inertia response under system frequency events. Recently, the DFIG wind turbines have been equipped with virtual inertia controller (VIC) for supporting power system frequency stability. However, the conventional VICs with fixed gain have negative effects on inter-ar...

Sometimes conventional feedback controllers may not perform well online because of the variation in process dynamics due to nonlinear actuators, changes in environmental conditions and variation in the character of the disturbances. To overcome the above problem, this paper deals with the designing of a controller for a second order system with Model Reference Adaptive Control (MRAC) scheme usi...

The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

Metals production and consumption networks are complex Large Scale Socio-Technical Systems, consisting of many technical installations, companies operating them, at a global scale, with large environmental impacts. Understanding their dynamics and behavior requires models that are capable of capturing technical, social, economic and other dimensions. Modeling in the metals domain has traditiona...

We need, increasingly, to design systems that can support complex behaviours in which users adapt dynamically to the progression of the task or to changing conditions during the interaction. Unfortunately, we lack procedures and methods to build systems for adaptive behaviour. This article proposes an approach that identifies dimensions on which users adapt their behaviour and then determines t...

This paper presents a scheme for designing a totally decentralized adaptive stabilizers for a class of large-scale systems with subsystems having arbitrary relative degrees. In the control design, both strong static interactions and weak dynamic interactions are considered. It is shown that with the proposed controller global stability of the overall system and perfect regulation can be guarant...

In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...