In this paper, a T-S fuzzy model of the NSV (Nearspace Vehicle) kinematic model is established based on fuzzy approximation theory, and a new fuzzy robust tracking control law is designed in reference to the feedforward control of the linear system. In order to account for a case in which no augmented matrix is introduced, the control law is designed as a compound form of feedback and feedforwa...

Channel equalization is a major method for reducing distortion and interference effects on a communication channel. In this paper, channel equalization using soft computing methods is attempted. To be more specific, Dynamic Fuzzy Neural Networks (DFNN) which combines fuzzy rules and neural networks is adopted. The DFNN is functionally equivalent to a Takagi-Sugeno-Kang (TSK) fuzzy system posses...

S.Malarkkan, and V.C.Ravichandran Research Scholar Professor ECE Department, College of Engineering, Guindy, Anna University, Chennai, India Summary Resource management is one of the most important engineering issues in 3G systems where multiple traffic classes are supported each being characterized by its required quality of service (QoS) parameters. Call admission control (CAC) is one of the ...

the types of transmission systems which today are available for long distance transmission of large numbers of telephone circuits are those for coaxial cables and radio links. the number of circuits is increased in both cases in step with development in technique. radio links have for several years been able to transmit 600 telephone circuits per system. and are now being designed for 960 circu...

Taking an intelligent trimming device hydraulic manipulator as the research object, aiming at uncertainty, nonlinearity and complexity of its system, a trajectory tracking control scheme is studied in this paper. In light virtual work principle, coupling dynamic model system established. order to improve anti-interference adaptive abilities compound strategy combining neuro-fuzzy inference (ANF...

a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...

in previous studies we first concentrated on utilizing crisp simulationto produce discrete event fuzzy systems simulations. then we extendedthis research to the simulation of continuous fuzzy systems models. in this paperwe continue our study of continuous fuzzy systems using crisp continuoussimulation. consider a crisp continuous system whose evolution depends ondifferential equations. such a ...

With the aim of improving rapidity and accuracy quadrotor UAV positional trajectory tracking, this paper proposes a fuzzy automatic disturbance rejection control based on improved whale optimization algorithm (IWOA-Fuzzy-ADRC). (1) To address problems low slow convergence traditional algorithm, combination logistic chaos mapping skew tent is applied to improve diversity initial population. (2) ...

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...