Reinforcement learning (RL) has been shown to have the potential for optimal control of
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …

Optimal performance is extremely important for hypersonic flight control. Different from most
existing methodologies, which only consider basic control performance including stability …

The wastewater treatment is an important avenue of resources cyclic utilization when coping
with the modern urban diseases. However, there always exist obvious nonlinearities and …

In this study, an event-trigger-based fractional-order sliding mode control strategy is
expanded as an implementation technique for the stabilization of quadrotor unmanned …

This paper develops an event-triggered decentralized tracking control (DTC) approach for
modular reconfigurable robots (MRRs) by using adaptive dynamic programming. By …

In this paper, for achieving the discounted optimal feedback stabilization of a nonlinear
overhead crane system, we establish an intelligent control strategy to obtain the solution of …

The heuristic dynamic programming (HDP)()-based optimal control strategy, which takes a
long-term prediction parameter into account using an iterative manner, accelerates the …

This article investigates local control problems for nonlinear interconnected systems by
using adaptive dynamic programming (ADP) with particle swarm optimization (PSO) …

This paper studies the synchronization of complex networks with probabilistic interval delay
and Markov switching topologies by using a novel dynamic self-triggered control (DSTC) …

During recent years there have been considerable research efforts on improving energy
efficiency of buildings. Since Heating, Ventilation and Air-Conditioning (HVAC) systems are …