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...

controller design remains an elusive and challenging problem foruncertain nonlinear dynamics. interval type-2 fuzzy logic systems (it2fls) incomparison with type-1 fuzzy logic systems claim to effectively handle systemuncertainties especially in the presence of disturbances and noises, but lack aformal mechanism to guarantee performance. in contrast, adaptive sliding modecontrol (asmc) provides...

Neuromodulation is central to the adaptation and robustness of animal nervous systems. This paper explores classical paradigm indirect adaptive control design neuromodulatory controllers in conductance-based neuronal models. The maximal conductance parameters shown provide a methodology aligned with concepts neuromodulation physiology impedance robotics.

The paper presents the possibility of management fan performance in dependence on CO2 concentration. A mathematical calculation is made from prediction electric energy consumption for a variant control algorithm. most advantageous algorithm programmed into actual system, and its power shown graph. Finally, saving adaptive compared to classical over time. To program algorithm, mass balance equat...

In order to improve the optimal performance of a machining process, a booster to improve the serve control system performance with high stability for EDM is needed. According to precise movement of machining process using electrical discharge (EMD), adaptive control is proposed as a major option for accuracy and performance improvement. This article is done to design adaptive controller based o...