To perform power augmentation tasks of a robotic exoskeleton, this paper utilizes fuzzy approximation and designed disturbance observers to compensate for the torques caused by unknown input saturation, errors, viscous friction, gravity, payloads. The proposed adaptive control with updated parameters' mechanism additional torque inputs using are exerted into exoskeleton via feedforward loops counteract disturbances. Through such an approach, system does not need any requirement built-in...

An adaptive neural control strategy for multiple input output nonlinear systems with various constraints is presented in this paper. To deal the nonsymmetric nonlinearity and constrained states, proposed combined backstepping method, radial basis function network, barrier Lyapunov (BLF), disturbance observer. By ensuring boundedness of BLF closed-loop system, it demonstrated that tracking achieved all states remaining constraint sets general assumption on nonsingularity unknown coefficient...

We develop a novel disturbance observer-based adaptive fuzzy control approach in this paper for class of uncertain multi-input-multi-output mechanical systems possessing unknown input nonlinearities, i.e., deadzone and saturation time-varying external disturbance. It is shown that the nonlinearities can be represented by nominal part nonlinear term. High-dimensional integral-type Lyapunov function used to construct controller. Fuzzy logic system employed cancel model uncertainties, observer...

We describe an experimental setup for producing a large cold erbium (Er) sample in narrow-line magneto-optical trap (MOT) simple and efficient way. implement pair of angled slowing beams with respect to the Zeeman slower axis, further slow down atoms exiting from slower. The second-stage enable MOT higher velocity. This scheme is particularly useful when at low optical power without conventional transverse cooling between oven slower, which case we significantly improve loading efficiency...

This paper proposes an adaptive neural network control scheme for uncertain nonlinearly multi-input-multi-output (MIMO) robotic systems with time-varying delay and unknown backlash-like hysteresis. The radial basis function (RBFNN) is used to approximate the nolinear term of MIMO hysteresis nonlinearity. To compensate delays hysteresis, a new version high dimensional integral Lyapunov presented construct Lyapunov-based structure. By combining integral-type RBFNN, global stability considered...

A vision-based selective compliant assemble robot arm (SCARA) is designed to grasp the conveyor belt workpiece in paper. The SCARA robotic of 4 degree freedom(DOF) with pneumatic terminal gripping jaw. position and orientation are obtained through image procession inter frame difference method on computer captured by a camera overhead hung up firstly, then they transferred controller means serial port. When D-H parameter table linkage built, expression forward kinematics established,...

Long-range and anisotropic dipolar interactions induce complex order in quantum systems. It becomes particularly interesting two-dimension (2D), where the superfluidity with quasi-long-range emerges via Berezinskii-Kosterlitz-Thouless (BKT) mechanism, which still remains elusive interactions. Here, we observe BKT transition from a normal gas to superfluid phase quasi-2D Bose of erbium atoms. Controlling orientation dipoles, characterize point by monitoring extended coherence measuring...

Dicke superradiance occurs when two or more emitters cooperatively interact via the electromagnetic field. This collective light-scattering process has been extensively studied across various platforms, from atoms to quantum dots and organic molecules. Despite extensive research, precise role of direct interactions between in remains elusive, particularly many-body systems where complexity poses significant challenges. In this study, we investigate effect dipole-dipole interaction 18 000...

We present a simple and effective method to implement an active stabilization of diode laser with injection locking, which requires minimal user intervenes. The injection-locked state the is probed by photodetector, sensitivity enhanced narrow laser-line filter. Taking advantage characteristic response power spectral modes from filter, we demonstrate that high purity low-intensity noise can be simultaneously maintained feedback injected laser. Our intrinsically cost-effective does not...

This paper considers a class of nonlinearly parameterized MIMO systems with state time-varying delay and unknown nonlinear dead-zones. A new version high dimensional integral Lyapunov function is introduced to construct Lyapunov-based adaptive control structure, which does not try cancel the coupling matrix for linearizing system. Under both time deadzone inputs, stability closed-loop system guaranteed tracking errors converge origin. Simulation results using 2-DOF robotic manipulators...

In this paper, adaptive output feedback control via neural networks is designed for a robotic exoskeleton with unknown dynamics. Neural are used to compensate the deadzone effect induced by actuators and dynamics of robot. High-gain observer employed estimate velocity information then integrated in design controller. The approximated Radial Basis Function Network (RBFNN) tracking error bounded converging. estimated another RBFNN. proposed able track desired trajectory. Finally, numerical...

The 53rd Annual Meeting of the APS Division Atomic, Molecular and Optical Physics will take place from May 30 – June 3, 2022 in Orlando, Fl, USA. <a href="https://morressier.zoom.us/j/89880865272?pwd=SWxTRGhra1ZOSDBrSkhVZDBzVDR6UT09/">Virtual Presenter Help Desk</a>

This paper presents an adaptive tracking control method for a class of nonlinearly parameterized MIMO dynamic systems with time-varying delay and unknown nonlinear dead-zone inputs. A new high dimensional integral Lyapunov-Krasovskii functional is introduced the controller to guarantee global stability considered also ensure convergence errors origin. The proposed provides alternative existing methods used time-delay nonlinearities.

Accurately measuring magnetic fields is essential for magnetic-field sensitive experiments in like atomic, molecular, and optical physics, condensed matter experiments, other areas. However, since many are conducted an isolated vacuum environment that inaccessible to experimentalists, it can be challenging accurately determine the field. Here, we propose efficient method detecting with assistance of artificial neural network (NN). Instead field directly at desired location, detect several...

The 53rd Annual Meeting of the APS Division Atomic, Molecular and Optical Physics will take place from May 30 – June 3, 2022 in Orlando, Fl, USA. <a href="https://morressier.zoom.us/j/89880865272?pwd=SWxTRGhra1ZOSDBrSkhVZDBzVDR6UT09/">Virtual Presenter Help Desk</a>

The 53rd Annual Meeting of the APS Division Atomic, Molecular and Optical Physics will take place from May 30 – June 3, 2022 in Orlando, Fl, USA. <a href="https://morressier.zoom.us/j/89880865272?pwd=SWxTRGhra1ZOSDBrSkhVZDBzVDR6UT09/">Virtual Presenter Help Desk</a>

Despite the extensive study of matter-wave superradiance in a Bose-Einstein condensate (BEC) using its unique coherence property, controllability superradiant process has remained limited previous studies exploiting phase-coherent with isotropic contact interactions. Here, we combine tunable s-wave scattering dipolar interactions BEC $^{168}$Er atoms wherein asymmetry and threshold are independently controlled. By changing length near Feshbach resonance, tune increasing phase fluctuations....