Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a selftuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting techn...

This paper presents a combined approach to fault diagnosis in discrete-time dynamic systems. The approach integrates classical and soft computing techniques. The typical methods based on signal models, and process models for residual generation are considered: parity equations, observers and parameter estimation. The role of integration of classical and intelligent techniques is enhanced. The p...

A sentient object is a mobile, intelligent software component that is able to sense its environment via sensors and react to sensed information via actuators. Sentient objects are context-aware, aware of both their internal state and the state of their surrounding local environment, and are cooperative, cooperating with other sentient objects both through traditional communication channels and ...

Interdisciplinary research from the domains of pervasive computing or ubiquitous computing, computer-human-interaction and computer science has led to the development of many intelligent environments, either on lab scale or as live in laboratories. While several middleware have been developed in this field, no standard middleware for intelligent environments or ubiquitous computing has evolved ...

In this paper, an intelligent model-based fault detection (FD) is developed for proton exchange membrane fuel cell (PEMFC) dynamic systems using an independent radial basis function (RBF) networks. The novelty is that this RBF networks is used to model the PEMFC dynamic systems and residuals are generated based on the differences between the PEMFC systems and RBF networks model. Later, based on...

Both economical and ecological factors might encourage conventional machines to continue in service by healing tool vibration problems. Higher productivity in automated manufacturing system brought to the attention the importance of machine tool error elimination. Various factors might affect the machining process (Merritt, 1965), some of them are non-measurable, and others might change in real...

The problems of control of robot manipulators with actuation degradation and detection of actuation faults are addressed in this paper. An adaptive fault tolerant control method is proposed for robot manipulators to maintain the required performance in the presence of actuation degradation, and the same adaptive algorithm is utilized to detect actuation failures. The proposed method can compens...

Future generations of flight control systems, such as those for unmanned autonomous vehicles (UAVs), are likely to be more adaptive and intelligent cope with the extra safety reliability requirements due pilotless operations. An efficient fault detection isolation (FDI) system is paramount should capable monitoring health status an aircraft. Historically, hardware redundancy techniques have bee...