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A review of research on reinforcement learning algorithms for multi-agents
K Hu, M Li, Z Song, K Xu, Q ** control for a class of nonlinear strict-feedback systems with unknown dynamic functions
In this article, a control scheme based on optimized backstep** (OB) technique is
developed for a class of nonlinear strict-feedback systems with unknown dynamic functions …
developed for a class of nonlinear strict-feedback systems with unknown dynamic functions …
Adaptive fuzzy inverse optimal control for uncertain strict-feedback nonlinear systems
Y Li, X Min, S Tong - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This article first investigates the adaptive fuzzy inverse optimal control design problem for a
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …
Advanced value iteration for discrete-time intelligent critic control: A survey
Optimal control problems are ubiquitous in practical engineering applications and social life
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …
[KNIHA][B] Adaptive dynamic programming with applications in optimal control
With the rapid development in information science and technology, many businesses and
industries have undergone great changes, such as chemical industry, electric power …
industries have undergone great changes, such as chemical industry, electric power …
Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
In this paper, a new formulation for the optimal tracking control problem (OTCP) of
continuous-time nonlinear systems is presented. This formulation extends the integral …
continuous-time nonlinear systems is presented. This formulation extends the integral …
Data-driven optimal consensus control for discrete-time multi-agent systems with unknown dynamics using reinforcement learning method
This paper investigates the optimal consensus control problem for discrete-time multi-agent
systems with completely unknown dynamics by utilizing a data-driven reinforcement …
systems with completely unknown dynamics by utilizing a data-driven reinforcement …
Value iteration adaptive dynamic programming for optimal control of discrete-time nonlinear systems
In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed
to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear …
to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear …