Building interior temperatures are affected by the outdoor air temperature. Note that outdoor
weather patterns are somewhat repetitive in nature and historical records of outdoor …

Aiming to addressing the nonrepetitive uncertainties of multiagent systems, this work
proposes a discrete-time-distributed adaptive iterative learning control (DDAILC) scheme for …

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

This research has been devoted to the construction of a permanent-stable algorithm for
tracking control of a nonlinear 1-degree of freedom (DOF) mechanical system affected by a …

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 presents the design of a passivity-based iterative learning control (ILC) algorithm
for coupled temperature and humidity in buildings. Since buildings are subjected to …

In this paper, a distributed and cooperative optimization-based iterative learning control
(ILC) algorithm is proposed for large-scale building temperature control problems. With the …

Recently, the artificial intelligence has achieved a significant success with applications in
various domains including transportation, smart building, robotics, economy and so on. More …

From electricity distribution to water management, higher levels of efficiency and
performance have been attained by the synergy of computers, communications, and control …

This paper presents a brief survey of recent works on Iterative Learning Control (ILC) of
Energy Management System (EMS) based on a framework of Multi-Agent System (MAS) …