Adaptive behavior is mainly the result of adaptive brains. We go a step beyond and claim that the brain does not only adapt to its surrounding reality but rather, it builds itself up to constructs its own reality. That is, rather than just trying to passively understand its environment, the brain is the architect of its own reality in an active process where its internal models of the external ...

The new method of the synthesis of multidimensional adaptive control system with reference model self-adjustment for the centralized control of the spatial motion of autonomous underwater vehicles is developed in this paper. The conditions of the self-adjustment process stability with the presence of essential dynamic reciprocal effect between all control channels are obtained and strictly prov...

In this research, an efficient Galerkin Finite Volume Method (GFVM) along with the h–refinement adaptive process and post–processing error estimation analysis is presented for fracture analysis. The adaptive strategy is used to produce more accurate solution with the least computational cost. To investigate the accuracy and efficiency of the developed model, the GFVM is compared with two versio...

An oil tube defect detection method based on self-adaptive genetic fuzzy neural network is proposed, and it got the original information by multi-group vortex sensors and leakage magnetic sensors. We made multi-scale wavelet transform and frequency analysis to multi-channels original data and extracted multiattribute parameters from time domain and frequency domain, and then we selected the key...

Introduction: Autonomous underwater vehicles (AUVs) have great advantages for activities in deep oceans, and are expected as the attractive tool. However, AUVs have various problems which should be solved for motion control, acquisition of sensors’ information, determination of action, navigation without collision, self-localization and so on. We have been investigating the application of neura...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

This paper describes a method for noise removal from ultrasonic signals used in NDE (Non Destructive Evaluation) applications. The method used is FPGA based adaptive noise cancellation. Indeed adaptive filtering is one of the core technologies in digital signal processing. We can find numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide ...