A universal adaptive stabilizer for a class of nonlinear systems
Systems & Control Letters
An iterative learning control law for dynamical systems
Automatica (Journal of IFAC)
Iterative Learning Control for Deterministic Systems
Iterative Learning Control for Deterministic Systems
Brief Iterative learning control with initial rectifying action
Automatica (Journal of IFAC)
Brief paper: A universal iterative learning stabilizer for a class of MIMO systems
Automatica (Journal of IFAC)
A reinforced iterative formalism to learn from human errors and uncertainty
Engineering Applications of Artificial Intelligence
Iterative learning control based tools to learn from human error
Engineering Applications of Artificial Intelligence
International Journal of Automation and Computing
Hi-index | 22.15 |
In this work we explore the possibility of designing a new iterative learning control scheme for systems without a priori knowledge of the control direction. By incorporating a Nussbaum-type function, a new learning control mechanism is constructed with both differential and difference updating laws. The new learning control mechanism can warrant a L"T^2 convergence of the tracking error sequence along the iteration axis, in the presence of time-varying parametric uncertainties and local Lipschitz nonlinearities.