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Then, a learning-based supplementary adaptive strategy based on adaptive dynamic programming is introduced to improve the tracking performance of static controller in terms of robustness and adaptiveness only utilizing the input/output data of the combination.
The novel recurrent neural network-based vector control method was proposed by Fu and Li [11] for a single-phase inverter with an LCL filter, which is trained based on adaptive dynamic programming principle.
Using the measurements, two new online schemes are presented for synthesizing a controller without building or assuming a model for the system, by two new implementation schemes based on adaptive dynamic programming (ADP).
In this paper, an online optimal learning algorithm based on adaptive dynamic programming (ADP) approach is designed to solve the finite-horizon optimal control for multi-player nonzero-sum games with partially unknown dynamics and constrained control inputs.
In this paper, firstly, based on adaptive dynamic programming, three neural networks (NNs) (actor/disturber/critic) of control schemes for two-player games are integrated into the structure with only one NN, known as integrated NN (INN), with the aim of reducing computational complexity and waste of resources.
Similar(55)
Facilitated by statistical and machine learning models the study seeks to predict the purchase decisions based on adaptive or dynamic pricing of a product.
Based on adaptive backstepping dynamic surface control technique and the prediction error between the system states observer model and the serial-parallel estimation model, an adaptive output feedback controller is constructed.
The method is implemented through an object-oriented way based on adaptive mesh refinement and coarsening using dynamic data structures and derived data types of FORTRAN90.
We propose optimizations based on adaptive techniques.
Then, a model-free optimal tracking controller is designed to minimize the augmented quadratic performance index based on the adaptive dynamic programming algorithm, which without requiring any knowledge of the system dynamics.
A sparse stiff chemistry solver based on dynamic adaptive hybrid integration (AHI-S) is developed and demonstrated for efficient combustion simulations.
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based on adaptive dynamics
based on adaptive local
based on nonlinear dynamic
based on adaptive recursive
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based on adaptive spectral
based on adaptive mutative
based on adaptive phase-locked
based on adaptive Euclidean
based on adaptive alternate
based on adaptive complex
based on adaptive temporal causal
based on adaptive fuzzy
based on microfluidic dynamic
based on adaptive probabilistic
based on Freudian dynamic
based on general dynamic
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