SIMULATING CONTINUOUS FUZZY SYSTEMS: I

simulating continuous fuzzy systems: i

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 ...

Simulating continuous fuzzy systems

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Simulating Fuzzy Systems

Fuzzy stopping problems in continuous-time fuzzy stochastic systems

In a continuous-time fuzzy stochastic system, a stopping model with fuzzy stopping times is presented. The optimal fuzzy stopping times are given under an assumption of regularity for stopping rules. Also, the optimal fuzzy reward is characterized as a unique solution of an optimality equation under a differentiability condition. An example in the Markov models is discussed.

Simulating Continuous Systems with Piecewise-Linear Signals using Time Warp

Recently, an approach using the discrete event paradigm for the simulation of continuous systems has been developed. This approach is based on the use of piecewise-linear approximations for the representation of continuous, time-varying quantities. The focus of this paper is to show how this new technique can be implemented on a multiprocessor. Our hypothesis is that the Time Warp algorithm is ...

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...