Reinforcement learning (RL) has roots in dynamic programming and it is called
adaptive/approximate dynamic programming (ADP) within the control community. This paper …

Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …

The idea of optimization can be regarded as an important basis of many disciplines and
hence is extremely useful for a large number of research fields, particularly for artificial …

The core task of tracking control is to make the controlled plant track a desired trajectory. The
traditional performance index used in previous studies cannot eliminate completely the …

This article investigates the problem of path following for the underactuated unmanned
surface vehicles (USVs) subject to state constraints. A useful control algorithm is proposed …

Worldwide, energy consumption and saving represent the main challenges for all sectors,
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …

This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

In real-time energy management of a converter-based microgrid, it is difficult to determine
optimal operating points of a storage system in order to save costs and minimise energy …

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

This paper studies the problem of optimal parallel tracking control for continuous-time
general nonlinear systems. Unlike existing optimal state feedback control, the control input …