Extended dynamic fuzzy logic system (DFLS) based indirect stable adaptive control of non-linear systems

اسناد مشابه

• Extended dynamic fuzzy logic system for a class of MIMO nonlinear systems and its application to robotic manipulators

  سند علمی۲۰۱۳RoboticaMohamed Hamdy, G. el-Ghazaly

  This paper presents an indirect adaptive fuzzy control scheme for a class of unknown multi-input multi-output (MIMO) nonlinear systems with external disturbances. Within this scheme, the dynamic fuzzy logic system (DFLS) is employed to identify the unknown nonlinear MIMO systems.

• Direct and Indirect Stable Adaptive Control for Suspension Systems with MR Damper

  سند علمی۲۰۰۸Itthisek Nilkhamhang, Tomoaki Mori, Akira Sano

  The paper is concerned with stable adaptive schemes for semi-active control of suspension systems, which can deal with uncertainties in a nonlinear model of MR damper. To compensate for unknown nonlinear hysteresis dynamics of the MR damper, an adaptive inverse controller is impl

• Reworking the Standard Model of Competitive Markets: the Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-linear Economic Systems

  سند علمی۲۰۰۴Peter Smith

  Some aspects of economic systems (eg, nonlinearity, qualitative variables) are intractable when incorporated into models. The widespread practice of excluding them (or greatly limiting their role) produces deviations of unknown size and form between the resulting models and the r

• Observer-Based Adaptive Control for a Class of Nonlinear Non-Affine Systems Using Recurrent-Type Fuzzy Logic Systems

  سند علمی۲۰۱۳Ching-Hung Lee, Hao-Yuan Hsueh

  In this paper, we propose an observer-based fuzzy adaptive control scheme for a class of multiple-input-multiple-output (MIMO) nonlinear non-affine systems with uncertainty and unknown state derivative. The proposed approach combines the recurrent-type fuzzy logic system (RFLS) a

• Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications

  سند علمی۲۰۱۱N. Sahab, H. Hagras, Nazanin Sahab, Hani Hagras

  Real world environments are characterized by high levels of linguistic and numerical uncertainties. A Fuzzy Logic System (FLS) is recognized as an adequate methodology to handle the uncertainties and imprecision available in real world environments and applications. Since the inv

• A Professional PID Implemented using a Non-singleton Type-1 Fuzzy Logic System to Control a Stepper Motor

  سند علمی۲۰۱۶Juan M.J. Ramos, Eduardo Reyes, Jonam L. Sanchez, José I. Hernandez

  This paper describes the stepper motor position control implemented using a novel nonsingleton type-1 fuzzy logic system to update the gains of the professional proportional-integral-derivative controller running on ATMEGA 2560 microcontroller. In this work, three controllers are