Observer-based self-organizing adaptive fuzzy neural network control for non-linear, non-affine systems with unknown sign of control gain and dead zone: A case …

P Mawlani, M Arbabtafti - … of the Institute of Measurement and …, 2022 - journals.sagepub.com
non-linear systems and an observer-based direct adaptive controller for non-affine uncertain
non-linear systems… part of the neuro-fuzzy control through the descending gradient method. …

[HTML][HTML] A Type-2 Fuzzy State Observer Model for Non-Stationary Dynamic System Identification: An Incremental Learning Method with Noise Handling

APF Evangelista, GL de Oliveira Serra - 2024 - intechopen.com
… Novel state-space online nonlinear identification based on … The estimation of the matrices A
i , B i , C i , D i , and K i is based on … This paper presents a type-2 state-space fuzzy modeling

[图书][B] Modern Adaptive Fuzzy Control Systems

A Mohammadzadeh, MH Sabzalian, C Zhang… - 2023 - Springer
… For this purpose, type-2 neuro-fuzzy systems are first … class of nonlinear systems includes
non-affine nonlinear systems in … practical nonlinear systems can be defined as a state space

[PDF][PDF] Robust Diving Motion Control of an Autonomous Underwater Vehicle Using Adaptive Neuro-Fuzzy Sliding Mode Technique

RG ROY - academia.edu
online neuro-fuzzy control [29], self adaptive neurofuzzy inference system [30], and online
genetic algorithm based … the state space ℜ2 by the equation σ(ze,θ, q) with following equation …

A fuzzy adaptive controller design for integrated guidance and control of a nonlinear model helicopter

F Pakro, AA Nikkhah - International Journal of Dynamics and Control, 2023 - Springer
neuro-fuzzy inference system (ANFIS) technique for model … [13] have dealt with a non-affine
UAV helicopter and a fuzzy … In a state-space model when the input matrix is not square, …

[PDF][PDF] Robust diving motion control of an autonomous underwater vehicle using adaptive neuro-fuzzy sliding mode

GV LAKHEKAR, LM WAGHMARE, PG JADHAV… - scholar.archive.org
online neuro-fuzzy control [29], self adaptive neuro-fuzzy inference … and bounded positive
definite over entire state space. … , “Nonlinear suboptimal control of fully coupled non-affine six-…

Robust diving motion control of an autonomous underwater vehicle using adaptive neuro-fuzzy sliding mode technique

GV Lakhekar, LM Waghmare, PG Jadhav… - IEEE Access, 2020 - ieeexplore.ieee.org
online neuro-fuzzy control [29], self adaptive neuro-fuzzy inference … and bounded positive
definite over entire state space. … , “Nonlinear suboptimal control of fully coupled non-affine six-…

Self-evolving data cloud-based PID-like controller for nonlinear uncertain systems

ZX Yang, HJ Rong, PK Wong, P Angelov… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
… the process into linear submodels in a state-space correlated by membership functions or the
… Rojas, “New online self-evolving neuro fuzzy controller based on the TaSe-NF model,” Inf. …

Recurrent neural network-based robust nonsingular sliding mode control with input saturation for a non-holonomic spherical robot

SB Chen, A Beigi, A Yousefpour, F Rajaee… - IEEE …, 2020 - ieeexplore.ieee.org
… the dimensions of the state space model are more than the … a class of uncertain nonaffine
nonlinear systems with external … Modares, ‘‘Memoryaugmented system identification with finite…

Data-Driven Kalman Filtering in Nonlinear Systems with Actuator and Sensor Fault Diagnosis Based on Lyapunov Stability

L Fan, K Guo, H Ji, S Liu, Y Wei - Symmetry, 2021 - mdpi.com
… to transform the original nonlinear non-affine system into an affine … (1) can be transformed
into the following state space … The system identification output has a very small deviation from …