This paper presents an adaptive Fuzzy Sliding Mode Control approach for Assist-as-Needed (AAN) strategy to achieve effective human–exoskeleton synergy. The proposed employs instance-based learning algorithm estimate muscle effort, based on surface Electromyography (sEMG) signals. To determine and control the inverse dynamics of a highly nonlinear 4-degrees-of-freedom exoskeleton designed upper-...

In this paper, a novel Model Reference Adaptive Control (MRAC)-based hybrid control algorithm is presented for the trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV). The mathematical model of the tri-rotor is based on the Newton–Euler formula, whereas the MRAC-based hybrid controller consists of Fuzzy Proportional Integral Derivative (F-PID) and Fuzzy Proportional Derivative (F-P...

In recent years, the research on drones has increased rapidly because of its high applicability in many fields and great development potential. maritime sector too, especially marine rescue, a Drone with compact size fast flight speed is an effective solution search surveillance, giving quick results being very convenient. When operating at sea, rescue are often affected by environment, wind, w...

On several examples from interval and fuzzy computations and from related areas, we show that when the results of data processing are unusually good, their computation is unusually complex. This makes us think that there should be an analog of Heisenberg’s uncertainty principle well known in quantum mechanics: when we an unusually beneficial situation in terms of results, it is not as perfect i...

We present XMM-Newton observations and spectral fitting of two highly redshift, [OIII]-luminous, narrow-line radio galaxies, B3 0731+438 and 3C 257. Their X-ray continua are well fitted by a partial covering model with intrinsically unabsorbed and absorbed powerlaw components. The spectral models indicate that both objects harbour highly obscured nuclei, with NH ≈ 0.5 − 2 × 10 23 cm. Correcting...