Dynamic event-triggered-based integral reinforcement learning algorithm for frequency control of microgrid with stochastic uncertainty
X Tong, D Ma, R Wang, X Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The intermittency of renewable energy and the uncertainty of load put forward higher
robustness requirements for the frequency recovery of microgrid (MG). The energy storage …
robustness requirements for the frequency recovery of microgrid (MG). The energy storage …
Frequency stabilization in sustainable energy sources integrated power systems using novel cascade noninteger fuzzy controller
Current power system has taken a paradigm shift from the conventional structure to the
hybrid consisting of thermal and renewable energy sources (RESs), such as hydro, tidal …
hybrid consisting of thermal and renewable energy sources (RESs), such as hydro, tidal …
Whale optimization controller for load frequency control of a two-area multi-source deregulated power system
This article discusses a Whale Optimization (WO) controller for design analysis, stability
management, application, and performance analysis of a deregulated two-area multi-source …
management, application, and performance analysis of a deregulated two-area multi-source …
PSO-self-organizing interval type-2 fuzzy neural network for antilock braking systems
Nowadays, the antilock braking system (ABS) is the standard in all modern cars. The
function of ABS is to optimize the maximize wheel traction by preventing wheel lockup …
function of ABS is to optimize the maximize wheel traction by preventing wheel lockup …
A novel technique for load frequency control of multi-area power systems
In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of
a two-area power system based on descending gradient training and error back …
a two-area power system based on descending gradient training and error back …
Study on Centroid Type‐Reduction of Interval Type‐2 Fuzzy Logic Systems Based on Noniterative Algorithms
Y Chen - Complexity, 2019 - Wiley Online Library
Interval type‐2 fuzzy logic systems have favorable abilities to cope with uncertainties in
many applications. While the block type‐reduction under the guidance of inference plays the …
many applications. While the block type‐reduction under the guidance of inference plays the …
[PDF][PDF] Input-output scaling factors tuning of type-2 fuzzy PID controller using multi-objective optimization technique
The PID controller is a popular controller that is widely used in various industrial
applications. On the other hand, the control problems in microgrids (MGs) are so …
applications. On the other hand, the control problems in microgrids (MGs) are so …
Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network
This article aims to develop a more efficient adaptive filter for the active noise cancellation
(ANC). A novel recurrent interval type-2 fuzzy brain emotional learning filter (RT2BELF) is …
(ANC). A novel recurrent interval type-2 fuzzy brain emotional learning filter (RT2BELF) is …
Design and application of interval type-2 TSK fuzzy logic system based on QPSO algorithm
Q Fan, T Wang, Y Chen, Z Zhang - International Journal of Fuzzy Systems, 2018 - Springer
Studies on interval type-2 TSK fuzzy logic system is a hot topic in the current academic area.
Parameter identification is very important for system design. Commonly used parameter …
Parameter identification is very important for system design. Commonly used parameter …
Finite-time tracking control for a class of MIMO nonstrict-feedback nonlinear systems via adaptive fuzzy method
H Su, W Zhang - International Journal of Fuzzy Systems, 2022 - Springer
This paper addresses the finite-time adaptive fuzzy control for multi-input and multi-output
(MIMO) nonstrict-feedback nonlinear systems with fuzzy dead zones. Combining the semi …
(MIMO) nonstrict-feedback nonlinear systems with fuzzy dead zones. Combining the semi …