Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

370 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Adaptive Dynamic Programming for Control: A Survey and Recent Advances (2021, background): “1) The design of state regulator is the basis of other regulators [76], [78], [82], [168]–[174].”
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems (2014, neutral): “For the value iteration algorithm of ADP, the initial performance index function is required to be zero [16], [18], [39]–[42].”
Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm (2020, background): “According to [28], the Bellman function can be deﬁned as The cost function is deﬁned as ) , and the gradient can be obtained as [42] and [43] ˆ ρ i , Using the gradient descent rule, the parameter ˆ ρ i ,(cid:9) ( k ) is updated as where λ i ,(cid:9) is a positive convergence factor.”
Model-Free Optimal Tracking Control via Critic-Only Q-Learning (2016, background): “2585520 RL-based control approaches focused on the regulation control problem, a few of which are [7]–[9], [11], [12], [15], [18], [19], and [22].”
Adaptive Critic Nonlinear Robust Control: A Survey (2017, methodology): “The development of ADP methods greatly promotes the research of data-based optimal control design [46], [54], [55], [76], [78], [80], [81], [93], [105], [106].”