Fuzzy logic-based coordinated control method for multi-type battery energy storage systems

X Li, H Yan - Artificial Intelligence Review, 2018 - Springer
In order to take full advantage of the complementary nature of multi-type energy storage and
maximally increase the capability of tracking the scheduled wind power output, a charging …

Supplementary control for virtual synchronous machine based on adaptive dynamic programming

N Malla, D Shrestha, Z Ni… - 2016 IEEE Congress on …, 2016 - ieeexplore.ieee.org
Virtual synchronous machine (VSM) can be used in micro-grids (MGs) for supporting virtual
inertia to mitigate frequency fluctuations in the system. The performance of VSM depends on …

The fuzzy properties of the ship control in collision situations

M Mohamed-Seghir - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
This article focuses on fuzzy set theory as intelligent tools for navigator's decision-making to
improve the safety of marine vessels in collision situations. A lot of progress has been made …

Optimal tracking control of nonlinear batch processes with unknown dynamics using two-dimensional off-policy interleaved Q-learning algorithm

H Shi, W Gao, X Jiang, C Su, P Li - International Journal of Control, 2023 - Taylor & Francis
A novel two-dimensional (2D) off-policy interleaved Q-learning algorithm is proposed to
handle the optimal tracking control problem without prior knowledge of nonlinear batch …

Fuzzy adaptive dynamic programming minimum energy control of dielectric elastomer actuators

PR Massenio, G Rizzello, D Naso - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In this paper, a new optimal control scheme is presented to minimize the energy required by
a positioning system based on a dielectric elastomer membrane actuator. In order to …

Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control

Y Tang, C Mu, H He - 2017 International Joint Conference on …, 2017 - ieeexplore.ieee.org
In this paper, coordinated sliding mode control (SMC) and adaptive dynamic programming
(ADP) strategy is proposed for near-space aerospace vehicle (NSASV) adaptive attitude …

Observer-based adaptive control of uncertain nonlinear systems via neural networks

C Mu, Y Zhang, K Wang - IEEE Access, 2018 - ieeexplore.ieee.org
In this paper, a novel observer-based control strategy is proposed for a class of uncertain
continuous-time nonlinear systems based on the Hamilton-Jacobi-Bellman (HJB) equation …

[PDF][PDF] A model predictive control based distributed coordination of multi-microgrids in energy internet

Y Zhang, T Zhang, R Wang, Y Liu, B Guo - Acta Automatica Sinica, 2017 - aas.net.cn
This paper focuses on the development of optimization-based distributed scheduling
strategies for the coordination of an energy internet (EI) with multi-microgrids with …

Convergence of recurrent neuro-fuzzy value-gradient learning with and without an actor

S Al-Dabooni, D Wunsch - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
In recent years, a gradient of the n-step temporal-difference [TD (λ)] learning has been
developed to present an advanced adaptive dynamic programming (ADP) algorithm, called …

基于模型预测控制的含多微电网的能源互联网分布式协同优化

Z Yan, Z Tao, W Rui, L Yajie, G Bo - 自动化学报, 2017 - aas.net.cn
A Model Predictive Control Based Distributed Coordination of Multi-microgrids in Energy
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