Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive
control missions of mechatronic systems. However, applying such learning controllers for …

This paper endeavors to contribute to the field of optimal control via presenting an optimal
fuzzy Proportional Derivative (PD) controller for a RPP (Revolute‐Prismatic‐Prismatic) robot …

By taking the dynamic features of the multi-zone heating ventilation air conditioning (HVAC)
system into consideration, a distributed iterative learning temperature control (DILTC) …

Iterative learning control (ILC) has been well recognized for its ability to improve the tracking
performance of systems that perform repetitive tasks. Its achievable performance, however …

This paper proposes a novel performance‐enhanced iterative learning control (ILC) scheme
using a model‐free disturbance observer (DOB) to achieve high performance for precision …

With building heating, ventilation, and air conditioning (HVAC) systems accounting for 50%
the energy consumption in the building sector in the United States, there is a need to …

This paper investigates the problem of enhancing the energy efficiency of buildings which
eventually contributes to the carbon neutrality and sustainability. To achieve that, two …

This paper proposes novel decentralized control design methods for occupant comfort and
energy saving in smart multi-zone buildings. First, the graph-based modeling technique for …

This paper presents a new effective iterative learning control method for repetitive motion-
tracking control problems of robotic manipulators. The controller is comprised of two control …

With building heating, ventilation, and air conditioning (HVAC) systems accounting for 20%
of the energy consumption in the United States, there is a need to develop and implement …