The Artificial Cytoskeleton (AC) is introduced as a new model for generating adaptive growth of an artificial cell’s morphology throughout its lifetime in response to environmental cues. The AC utilizes swarm and cellular automata techniques. It is closely modelled on the eukaryotic cytoskeleton which is responsible for giving the cell dynamic structure and function. The AC is tested in a simpl...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

PURPOSE To improve the contrast of optical coherence tomography (OCT) images of the cornea (post processing). METHODS We have recently developed standard compensation (SC) algorithms to remove light attenuation artifacts. A more recent approach, namely adaptive compensation (AC), further limited noise overamplification within deep tissue regions. AC was shown to work efficiently when all A-sc...

The neural network with radial basis function is introduced for position tracking control of AC servo drive with the existence of system uncertainties. An adaptive robust term is applied to overcome the external disturbances. The proposed controller is implemented on a high performance digital signal processing DSP TMS320C6713-300. The stability and the convergence of the system are proved by L...

In this paper, an adaptive robust control (ARC) scheme based friction compensation strategy is presented for a class of mechanical systems in the presence of dynamic friction effects. In contrast to existing deterministic robust control (DRC) and adaptive control (AC) schemes, the proposed ARC scheme utilizes both the structural information of the dynamic friction model and the available prior ...

In this paper, a comparative study of modified phase-angle, extinction-angle, and pulse width modulation control techniques for the purpose of power factor improvement of single-phase AC-AC voltage regulators have been illustrated as applied to a singlephase ac voltage converter by an example of the widely used single-phase induction motor as a dynamic load. Observations on power factor, displa...

Given the increasing share of variable renewable energy resources (VREs), power system operations need to account for associated uncertainty with a fine resolution. This paper formulates an adaptive robust optimal flow, which secures hourly schedule against uncertain intrahour injections. The is characterized by spatially correlated polytopic sets. Second-order cone programming relaxation emplo...

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...

In this study, the authors proposed a new scheme which performs both lossless compression and encryption of images. Lossless compression is done by arithmetic coding (AC) while encryption is based on a chaos-based pseudorandom bit generator. Hence, they proposed to incorporate recent results of chaos theory into AC in order to shuffle the cumulative frequency vector of input symbols chaotically...