An interval fuzzy controller for vehicle active suspension systems
J Cao, P Li, H Liu - IEEE Transactions on Intelligent …, 2010 - ieeexplore.ieee.org
A novel interval type-2 fuzzy controller architecture is proposed to resolve nonlinear control
problems of vehicle active suspension systems. It integrates the Takagi-Sugeno (TS) fuzzy …
problems of vehicle active suspension systems. It integrates the Takagi-Sugeno (TS) fuzzy …
Designing type-1 and type-2 fuzzy logic controllers via fuzzy Lyapunov synthesis for nonsmooth mechanical systems
In this paper, Fuzzy Lyapunov Synthesis is extended to the design of Type-1 and Type-2
Fuzzy Logic Controllers for nonsmooth mechanical systems. The output regulation problem …
Fuzzy Logic Controllers for nonsmooth mechanical systems. The output regulation problem …
Noninteracting adaptive control of PMSM using interval type-2 fuzzy logic systems
S Barkat, A Tlemçani, H Nouri - IEEE Transactions on Fuzzy …, 2011 - ieeexplore.ieee.org
Based on the type-2 fuzzy logic systems and adaptive control theory, this paper develops a
decentralized adaptive fuzzy controller for a permanent magnet synchronous motor (PMSM) …
decentralized adaptive fuzzy controller for a permanent magnet synchronous motor (PMSM) …
Автоматизированные нечетко-логические системы управления
СГ Емельянов, ВС Титов, МВ Бобырь - 2018 - elibrary.ru
Монография посвящена способам проектирования автоматизированных нечетко-
логических систем управления. Представляемые методы, математические модели …
логических систем управления. Представляемые методы, математические модели …
Based on interval type-2 fuzzy-neural network direct adaptive sliding mode control for SISO nonlinear systems
TC Lin - Communications in Nonlinear Science and Numerical …, 2010 - Elsevier
In this paper, a novel direct adaptive interval type-2 fuzzy-neural tracking control equipped
with sliding mode and Lyapunov synthesis approach is proposed to handle the training data …
with sliding mode and Lyapunov synthesis approach is proposed to handle the training data …
Observer-based robust adaptive interval type-2 fuzzy tracking control of multivariable nonlinear systems
TC Lin - Engineering Applications of Artificial Intelligence, 2010 - Elsevier
In this paper, in order to deal with training data corrupted by noise or rule uncertainties, a
new observer-based indirect adaptive interval type-2 fuzzy controller is developed for …
new observer-based indirect adaptive interval type-2 fuzzy controller is developed for …
Single phase grid interactive PV system with MPPT capability based on type-2 fuzzy logic systems
N Altin - 2012 International Conference on Renewable Energy …, 2012 - ieeexplore.ieee.org
In this study, simulation of the single phase grid interactive photovoltaic system is proposed.
The proposed system consists of a maximum power point tracking boost converter and a …
The proposed system consists of a maximum power point tracking boost converter and a …
Modelling and control of coiling entry temperature using interval type-2 fuzzy logic systems
The set-up of the cooling water applied to the strip as it traverses the runout table in order to
achieve the coiler entry temperature was made by an intelligent model implemented using …
achieve the coiler entry temperature was made by an intelligent model implemented using …
Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems
The setup and control of the finishing mill roll gap positions required to achieve the desired
strip head thickness as measured by the finish mill exit X-ray gauge sensor is made by an …
strip head thickness as measured by the finish mill exit X-ray gauge sensor is made by an …
Selection and impact of different topologies in multi-layered hierarchical fuzzy systems
J Zajaczkowski, B Verma - Applied Intelligence, 2012 - Springer
An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy
systems (HFS) is presented. Coupling fuzzy system with evolutionary algorithm provides a …
systems (HFS) is presented. Coupling fuzzy system with evolutionary algorithm provides a …