In this paper we are describing and illustrating the Incremental Model Reference Adaptive Polynomial Controllers Network (IMRAPCN). This algorithm is a polynomial version of the conventional linear controllers network. Two important properties of that system are: (1) its behaviour is clearly understandable because each polynomial controller can be interpreted in linear terms and (2) it is capab...

This PhD thesis focuses on the development of “personalised” hypermedia applications. Personalisation, also called customisation or adaptation, is the process, which – when applied to software – consists of a change in the behaviour of the software system based on the knowledge the system has of the user. This knowledge can be supplied by the users themselves or by the software system, which is...

Adaptive automatic control systems become very frequently of use in technical practice. They are especially applied in automatic control systems of the flying bodies despite of higher expenses like the variable aerodynamic configuration of an aircraft and the application of a computer in autopilot circuits. Model reference adaptive control systems constitute an important group of adaptive syste...

For speed sensorless induction motors under field-oriented control (FOC), where the motor speed and angle are not measured, the speed control tracking bandwidth is mainly limited by the convergence rate of the state estimator. Prevailing speed-sensorless induction motors suffer significant performance degradation from removing the encoder, which limits their applications to fields requiring low...

Although model reference adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the presence of actuator dynamics can seriously limit the stability and the achievable performance of adaptive controllers. In this paper, an linear matrix inequalities-based hedging approach is developed and evaluated for model re...

this paper presents a novel indirect adaptive power system stabilizer (pss) via a developed synergetic control methodology and fuzzy systems. fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. the synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...