This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

The motivation for this paper stems from the desire to develop an adaptive sampling method solving constrained optimization problems in which objective function is stochastic and constraints are deterministic. proposed a proximal gradient that can also be applied composite problem min f(x) + h(x), where f h convex (but not necessarily differentiable). Adaptive methods employ mechanism gradually...

We present lower and upper bounds on adaptive heuristics for maintaining binary search trees using a constant number of link or pointer changes for each operation (constant linkage cost (CLC)). We show that no adaptive heuristic with an amortized linkage cost of o(log n) can be competitive. In particular, we show that any heuristic that performs f(n) = o(log n) promotions (rotations) amortized ...

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...

Slow Technology is an opportunity to create reflective, mesmerizing and tangible experiences of temporality in relation to human perspectives and situated experiences. Hallnas and Redstrom [1] proposed the concepts of ‘reflective’ and ‘time’ technology as part of their design philosophy of slowness; this paper focuses on these concepts in reference to a specific time based artwork that explores...

A direct robust adaptive control framework for non linear uncertain systems with constant linearly parame terized uncertainty and nonlinear state dependent uncer tainty is developed The proposed framework is Lyap unov based and guarantees partial asymptotic robust sta bility of the closed loop system that is asymptotic robust stability with respect to part of the closed loop system states assoc...

In this paper, we consider the observation of n i.i.d. mixed Poisson processes with random intensity having an unknown density f on R. For fixed observation time T , we propose a nonparametric adaptive strategy to estimate f . We use an appropriate Laguerre basis to build adaptive projection estimators. Non-asymptotic upper bounds of the L-integrated risk are obtained and a lower bound is provi...

Slow population activities (SPAs) exist in the brain and have frequencies below ~5 Hz. Despite SPAs being prominent in several cortical areas and serving many putative functions, their mechanisms are not well understood. We studied a specific type of in vitro GABAergic, inhibition-based SPA exhibited by C57BL/6 murine hippocampus. We used a multipronged approach consisting of experiment, simula...