Application of a self-learning adaptive network-based fuzzy inference system as a power system stabilizer (PSS) is described in this paper. A multilayer adaptive network is employed to design the fuzzy logic controller with self-learning capability that does not require another controller to tune the fuzzy inference rules and membership functions. Details of the design process are given. Behavi...

One of the main challenges of developing self-adaptive systems in open environment comes from uncertain self-adaptation requirements due to the unpredictability of environment changes and its co-existence with well-defined self-adaptation requirements in self-adaptive systems. This paper presents an integrated approach that combines offline and on-line self-adaptation together in a unified tech...

To achieve the best possible bandwidth utilization in wireless networks adaptive resource assignment is a requirement. Distributed or centralized resource allocation schemes can be used to reach such an objective. However, means to actually implement these resource adaptive features represent a major implementation challenge. In addition, the schemes should be self adaptive and eventually self ...

This paper overviews a proposed architecture for adaptive parallel logic referred to as ASOCS (Adaptive Self-Organizing Concurrent System). The ASOCS approach is based on an adaptive network composed of many simple computing elements which operate in a parallel asynchronous fashion. Problem specification is given to the system by presenting if-then rules in the form of boolean conjunctions. Rul...

in this research, first, kinematic and dynamic equations of a 4-dof 3-link robotic finger are derived using denavit-hartenberg convention and lagrange’s formulation. to model the muscles, several springs and dampers are placed between the finger links. then, two advanced controllers, namely adaptive-robust and adaptive-neural, which can control the robotic finger in presence of parametric uncer...

Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with intelligent self-adaptive sensing capabilities. Besides, boom portable devices has witnessed a huge breakthrough data driven vehicular platform. However, sensor-based Internet Things (IoT) are playing major role as edge nodes (ITS). Thus, due to hig...

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...

this paper presents a new centralized adaptive method under frequency load shedding. sometimes, after initial frequency drop following severe disturbances, although the system frequency returns to its permissible value, however, the system might become unstable due to voltage problems. in this regard, the paper proposes a new centralized adaptive load shedding method to enhance the voltage stab...