In this paper, a novel nonlinear learning controller called fuzzy-based goal representation
adaptive dynamic programming (Fuzzy-GrADP) is proposed. In the proposed GrADP …

We investigate an adaptive neuro-control approach, namely goal representation heuristic
dynamic programming (GrHDP), and study the nonlinear optimal control on the multi …

In this paper, a deterministic policy gradient adaptive dynamic programming (DPGADP)
algorithm is proposed for solving model-free optimal control problems of discrete-time …

Due to the nonlinearity, uncertainty and complexity of the power system, it is a challenging
task to design an effective control approach based on the exact model using traditional …

This paper presents a functional model predictive control (MPC) approach based on an
adaptive dynamic programming (ADP) algorithm with the abilities of handling control …

The increasing penetration of renewable energy introduces more uncertainties and creates
more fluctuations in power systems than ever before, which brings great challenges for …

This paper proposes a reinforcement fuzzy adaptive learning control network (RFALCON),
constructed by integrating two fuzzy adaptive learning control networks (FALCON), each of …

Reinforcement learning technique was developed recently as an interesting topic in
designing adaptive optimal controllers. This technique explicitly provided a feasible solution …

Goal representation heuristic dynamic programming (GrHDP) control design has been
developed in recent years. The control performance of this design has been demonstrated in …

In this brief, a reinforcement learning-based control approach for nonlinear systems is
presented. The proposed control approach offers a design scheme of the adjustable policy …