In this paper, a robust adaptive fuzzy backstepping control is developed for a class of strict-feedback canonical nonlinear systems. The systems may possess unknown functions, the nonlinear dynamic uncertainties and unmodeled dynamics. The fuzzy logic systems are used to approximate the unknown nonlinear functions and nonlinear damping terms are used to counteract the nonlinear dynamic uncertai...

With increased application of fuzzy logic in complex control systems, there is a need for a structured methodological approach in the development of fuzzy logic systems. Current fuzzy logic systems are developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. In this chapter a method for development of fuzzy system...

Abstract: An adaptive identifier for neuro-fuzzy control system nonlinear dynamic object operating in conditions of uncertainty intrinsic properties and the environment. The algorithms of structural and parametric identification in real time are a combination of an identification algorithm coefficients of linear management and methods of the theory of interactive adaptation. Adaptive neuro-fuzz...

For a class of uncertain nonlinear systems, this paper presents a method based on biological adaptation strategies of hybrid adaptive fuzzy control method. The method in the controller design, the ecological niche theory function as a consequent of the fuzzy rule fuzzy system, is established based on the biological adaptation of the adaptive controller. The controller design embodies the biolog...

Chaos is a nonlinear behavior that shows chaotic and irregular responses to internal and external stimuli in dynamic systems. This behavior usually appears in systems that are highly sensitive to initial condition. In these systems, stabilization is a highly considerable tool for eliminating aberrant behaviors. In this paper, the problem of stabilization and tracking the chaos are investigated....

in last decade, with the entry of spirituality in organizational and managementresearch, spirituality leadership, also, has attracted a considerable amount of attention.in this study, with a developmental approach and after using experts' opinions andliterature for identifying leaders' spiritual traits and behaviors, we aim to model themusing adaptive neural-fuzzy inference systems. e...

Empirical evaluation of user model based adaptive systems is challenging and intriguing due to the nature of user model and adaptive decision processes. Their success also depends on the subjective judgment of the user. It can be done by evaluating the constructed user model and the resulting adaptive decision made based upon the user model. Until recently, literature on comprehensive empirical...

In this paper, we consider moment properties for a class of quadratic adaptive fuzzy numbers defined in Dubois and Prade [D. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980]. The corresponding moments of Trapezoidal Fuzzy Numbers (Tr.F.N’s) and Triangular Fuzzy Numbers (T.F.N’s) turn out to be special cases of the adaptive fuzzy number [S. Bodja...

This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...