Hybrid Observer and Genetic Algorithm Cut Simulated Induction Motor Speed Tracking Errors
Researchers developed a hybrid observer and multi-objective optimization framework that cut simulated motor speed tracking errors by over sixty percent.
Researchers developed a hybrid observer and multi-objective optimization framework that cut simulated motor speed tracking errors by over sixty percent.
Researchers have developed an adaptive fractional-order super-twisting sliding mode control framework that reduces vehicle stopping distances and suppresses actuator chattering ...
Replacing the PI current regulator of a virtual synchronous generator with an integral sliding-mode controller narrowed a capacitive impedance region ...
A new simulation study shows that a disturbance-observer-based adaptive neuro-fuzzy sliding mode controller tuned by a chaotic grey wolf optimizer ...
A systematic review of SAVGS suspension control finds H-infinity methods validated on a full-car prototype while most other approaches remain ...
A cable-driven parallel suspension system has enabled wind tunnel tests of unstable, variable-frequency and variable-amplitude maneuvers, revealing complex aerodynamic hysteresis ...
A new geometric control law brings second-order super-twisting reaching directly onto Lie groups, promising smoother and more robust spacecraft attitude ...
Researchers report a simulated three-ring momentum-exchange architecture that provides full three-axis, propellant-free attitude control for an 8-kilogram small satellite, pending ...
Researchers combined artificial potential field trajectory planning with a discrete integral terminal sliding mode controller to let a Mecanum-wheeled omnidirectional ...
Researchers combined a radial basis function neural network with sliding mode control to achieve up to 55.8 percent vibration reduction ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine