Pneumatic muscle actuator exhibits strong nonlinear behavior and it requires use advanced
control algorithms based also on computational intelligence techniques as for example …

In this paper, an adaptive fuzzy controller design methodology via MultiObjective Particle
Swarm Optimization (MOPSO) based on robust stability criterion, is proposed. The plant to …

The pneumatic muscle actuator is highly nonlinear system and it is difficult to control it using
only a linear controller with fixed gains. The hybrid fuzzy adaptive control scheme with …

Unlike conventional robots, the equipment provided with pneumatic artificial muscles cannot
integrate standard systems for force measurement. Applied measurement system involves …

In this paper, an adaptive fuzzy controller design methodology via multi-objective particle
swarm optimization (MOPSO) based on robust stability criterion is proposed. The plant to be …

Pneumatic muscle actuators usually use various non-linear control techniques in order to
improve their performance. Therefore a hybrid adaptive control scheme with reference …

Pneumatic muscle actuators (PMAs) differ from general pneumatic systems as they have no
inner moved parts and there is no sliding on the surfaces. During action they reach high …

This paper proposes an accurate position sensing method and subsequent positional
control for pneumatic actuators. An array of hall effect sensors is used to allow contactless …

A self-tuning fuzzy control methodology via particle swarm optimization based on robust
stability criterion, is proposed. The plant to be controlled is modeled considering a Takagi …

This paper shows an important influence of amount of sulphuric acid in electrolyte on
thickness of aluminium oxide layer created with varying electrolyte temperature. Impact of …