despite providing robustness, high-gain observers impose a peaking phenomenon, which may cause instability, on the system states. in this paper, an adaptive saturation is proposed to attenuate the undesirable mentioned phenomenon in high-gain observers. a real-valued and differentiable sigmoid function is considered as the saturating element whose parameters (height and slope) are adaptively tu...

in this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. this adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. in addition, an important feature of the proposed structure is that the conventional bias existing ...

The intelligent and self-adaptive urban traffic signal control (TSC) system has become a development trend of intelligent transportation system (ITS). The most city dwellers are concerned with the urban traffic issues very much. So, to provide a self awareness and adaptive facilities in traffic signal control system is become more and more urgent. However, many roadway and traffic applications ...

This paper describes mocas (Model Of Components for Adaptive Systems), a component model which relies on a model execution environment to create software components with self-* cabilities. A mocas component has its structure constrained by a uml profile and its behavior specified with a uml state machine. The state machine is embedded into the component at runtime and executed by an engine. The...

In a vessel, the Shipboard Power System (SPS) is responsible for supplying energy to various services, such as navigation and communication. A research topic is the reconfiguration of the electrical scheme in case of either failure or damage. Indeed, after a fault, the software control system must ensure the ship’s survival. In a couple of earlier studies, we: (i) analyzed the relation between ...

Self-adaptive software systems are systems that monitor their environment and compensate if there are deviations from their requirements. Self-adaptivity is gaining prominence as an approach to lowering software costs by reducing the need for manual system maintenance. Self-adaptivity is particularly important for distributed systems that involve both software and human/organizational actors be...

The problem of manipulator control is a highly complex problem of controlling a system which is multi-input, multioutput, non-linear and time variant. In this paper some adaptive fuzzy, and a new hybrid fuzzy control algorithm have been comparatively evaluated through simulations, for manipulator control. The adaptive fuzzy controllers consist of self-organizing, self-tuning, and coarse/fine ad...