Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations
Fossil fuels and other conventional energy sources used to generate electricity are finite.
Therefore, alternative energy sources should be pursued to meet present and future energy …
Therefore, alternative energy sources should be pursued to meet present and future energy …
Event-based finite-time neural control for human-in-the-loop UAV attitude systems
G Lin, H Li, CK Ahn, D Yao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article focuses on the event-based finite-time neural attitude consensus control problem
for the six-rotor unmanned aerial vehicle (UAV) systems with unknown disturbances. It is …
for the six-rotor unmanned aerial vehicle (UAV) systems with unknown disturbances. It is …
Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints
This paper investigates the problem of output feedback neural network (NN) learning
tracking control for nonlinear strict feedback systems subject to prescribed performance and …
tracking control for nonlinear strict feedback systems subject to prescribed performance and …
Decentralized adaptive neural two-bit-triggered control for nonstrict-feedback nonlinear systems with actuator failures
This article studies the adaptive neural decentralized two-bit-triggered control problem for
interconnected large-scale nonlinear systems in nonstrict-feedback forms (NFF) with …
interconnected large-scale nonlinear systems in nonstrict-feedback forms (NFF) with …
Command filter-based adaptive neural control design for nonstrict-feedback nonlinear systems with multiple actuator constraints
This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …
Adaptive fuzzy finite-time control of nonlinear systems with actuator faults
This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback
nonlinear systems with the actuator faults. The functional relationship in the affine form …
nonlinear systems with the actuator faults. The functional relationship in the affine form …
Adaptive fuzzy control for nonstrict-feedback systems with input saturation and output constraint
Q Zhou, L Wang, C Wu, H Li… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …
feedback systems with input saturation and output constraint. A variable separation …
Finite-time fuzzy adaptive PPC for nonstrict-feedback nonlinear MIMO systems
S Sui, S Tong - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
This article addresses the issue of the fuzzy adaptive prescribed performance control (PPC)
design for nonstrict feedback multiple input multiple output (MIMO) nonlinear systems in …
design for nonstrict feedback multiple input multiple output (MIMO) nonlinear systems in …
Adaptive dynamic surface control design for uncertain nonlinear strict-feedback systems with unknown control direction and disturbances
H Ma, H Liang, Q Zhou, CK Ahn - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper investigates the adaptive tracking control problem for a class of uncertain single-
input and single-output strict-feedback nonlinear systems with unknown control direction …
input and single-output strict-feedback nonlinear systems with unknown control direction …
Neural network-based adaptive leader-following consensus control for a class of nonlinear multiagent state-delay systems
Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive
consensus methods, the proposed approach can greatly alleviate the computation burden …
consensus methods, the proposed approach can greatly alleviate the computation burden …