Tag: adaptive control

An experimental fiber-based optical dendritic unit applied Hebbian ICO learning in a closed loop, holding a simulated 44 °C system ...

A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while optimized adaptive ...

A hybrid controller combining fractional calculus, neural networks and eel-inspired optimization achieved 0.0321-second settling times for BLDC motor speed control ...

A systematic review of thirteen studies shows that brain signals called error-related potentials can be decoded to help robots detect ...

Researchers have developed a self-tuning zeroing neural network with a dynamic adaptive gain and integral activation function that lets multi-agent ...

Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic actuators to converge within designer-set deadlines ...

Researchers combined a radial basis function neural network with sliding mode control to achieve up to 55.8 percent vibration reduction ...

Researchers in China have combined an online-learning radial basis function neural network with super-twisting sliding-mode control to achieve chattering-free, high-precision ...

Researchers have combined back-stepping control with an adaptive radial basis function neural network to achieve fast, stable formation tracking for ...

A new model-free hierarchical reinforcement learning scheme keeps a DC motor's hidden internal states safely constrained while achieving precise output ...