This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...

Load sensor is developed using mamdani fuzzy inference system and sugeno fuzzy inference system. It is two input and one output sensor. Both mamdani-type fuzzy inference system and sugeno-type fuzzy inference system are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between these two fuzzy inference system and their simulated results are compared. Index Ter...

We discuss aspects of development of a low-cost realtime mobile-robot platform – ArEduBot for educational experiments. Our framework leverages ease-ofprogramming in block-diagrammatic form within the MATLAB/Simulink environment, together with several special-blocks developed within our Arduino-Simulink Toolbox 1 . The executable, compiled using the Real-Time-Workshop toolchain, can be downloade...

in this research optimal reconfiguration strategy of the improved srr reconfigurable mobile robot based on force-angle stability measure has been designed using genetic algorithm. path tracking nonlinear controller which keeps robot’s maximum stability has been designed and simulated in matlab. motion equations of the robot have been derived in parametric form by means of newton- euler, lagrang...

The paper presents a comparative study regarding the control (using an adaptive neuro-fuzzy controller and a PD controller) based on the simulation of wind energy conversion systems functioning. There are considered several simulations based on asynchronous generator usage, by using the dedicated MATLAB-PSB (Power System Blockset) toolbox implementations.

The composition and principle of an electrohydraulic servo oil film stiffness control system of hydrostatic center frame will be introduced, and the system model identification as well as the verification will be carried out based on semi-physical simulation environment of Real-time Workshop (RTW) and system identification toolbox in MATLAB. A control strategy of fuzzy sliding model variable st...

In the present paper Matlab toolboxes are employed to estimate the steady state performance of self excited induction generator [SEIG]. Efforts are made to predict the performance of such generator with different values of excitation capacitance under any operating condition. Simulated results as obtained using direct search toolbox, genetic algorithm toolbox and optimization toolbox are compar...

In practical system identification it is often desirable to introduce additional objectives and constraints into the identification problem. In some cases, these objectives and constraints are often non-commensurable and the objective functions are explicitly/mathematically not available. In this paper, Interactive Evolutionary Computation (IEC) is used to effectively handle these identificatio...