Tag: adaptive control

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 ...

Researchers in Algeria showed that reinforcement learning agents can retune a standard PID drone controller in real time within safety ...

Researchers at Georgia Tech have developed PERSCO, a control framework that lets mobile robots learn in real time how fast ...

Researchers have developed an adaptive fuzzy dynamic surface control strategy that guarantees finite-time trajectory tracking for unmanned helicopters despite input ...

Researchers have unveiled a hybrid polynomial-diagonal recurrent neural network controller that stabilizes mobile robots using only six tunable weights and ...