This letter presents a data-based control approach to achieve high-performance trajectory
tracking with Unmanned Aerial Vehicles (UAVs). We revisit an existing Iterative Learning …

The accumulated effect of channel noise, including sensor‐to‐controller (SC) noise and
controller‐to‐actuator (CA) noise, has a significant impact on the convergence performance …

Bowden-cable-actuated soft exoskeleton robots are known for their light weight and
flexibility of power transmission during rehabilitation training or movement assistance for …

Ship operators typically depend on the visual method for draft reading, which may lead to
errors or approximations, and it further introduces draft survey calculation errors and can not …

This paper presents an emulation of fuzzy logic control schemes for an autonomous parallel
parking system in a backward maneuver. There are four infrared sensors sending the …

Iterative learning control (ILC) has proven to be an effective method for improving the
performance of repetitive control tasks. This paper revisits two optimization-based ILC …

Two novel hybridization schemes for the particle swarm repetitive controller (PSRC) are
developed and tested herein. They are designed to be used in power electronic converters …

In this paper, the iterative learning control (ILC) problem is considered for a class of remote
control system through wireless network communication channels. A novel Kalman filtering …

At present, Kalman filtering is widely used in dynamic positioning. With continuous
development of deep-sea exploration, the accuracy of Kalman filtering is affected by more …

Although it has many advantages such as high mechanical rigidity, fast dynamic response
and high efficiency, a direct drive permanent magnet synchronous servo motor is sensible to …