VD-IT2, Virtual Disk Cloning on Disk Arrays Using a Type-2 Fuzzy Controller

In many practical systems, stochastic behaviors usually occur and need to be considered in the controller design. To ensure the system performance under the effect of stochastic behaviors, the controller may become bigger even beyond the capacity of practical applications. Therefore, the actuator saturation problem also must be considered in the controller design. The type-2 Takagi-Sugeno (T-S) fuzzy model can describe the parameter uncertainties more completely than the type-1 T-S fuzzy model for a class of nonlinear systems. A fuzzy controller design method is proposed in this paper based on the Interval Type-2 (IT2) T-S fuzzy model for stochastic nonlinear systems subject to actuator saturation. The stability analysis and some corresponding sufficient conditions for the IT2 T-S fuzzy model are developed using Lyapunov theory. Via transferring the stability and control problem into Linear Matrix Inequality (LMI) problem, the proposed fuzzy control problem can be solved by the convex optimization algorithm. Finally, a nonlinear ship steering system is considered in the simulations to verify the feasibility and efficiency of the proposed fuzzy controller design method.

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Decoupled Adaptive Type-2 Fuzzy Controller (DAT2FC) Design for Nonlinear TORA Systems

2006 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2006.1681759 ◽

2006 ◽

Cited By ~ 4

Author(s):

Ching-Hung Lee ◽

Hung-Yi Pan ◽

Hua-Hsiang Chang ◽

Bor-Hang Wang

Keyword(s):

Fuzzy Controller

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Hybrid active control of adjacent buildings interconnected by viscous dampers utilizing type-2 fuzzy controller considering soil-structure interaction

Structures ◽

10.1016/j.istruc.2021.03.117 ◽

2021 ◽

Vol 33 ◽

pp. 292-306

Author(s):

Anwar Shamkhi Al-Ghazali ◽

Hashem Shariatmadar

Keyword(s):

Active Control ◽

Soil Structure ◽

Fuzzy Controller ◽

Soil Structure Interaction ◽

Viscous Dampers ◽

Structure Interaction ◽

Adjacent Buildings

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Robust Load Frequency Control of multi-area interconnected system including SMES units using Type-2 Fuzzy controller

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2013.6622324 ◽

2013 ◽

Cited By ~ 4

Author(s):

R. Vijaya Santhi ◽

K.R. Sudha ◽

S. Prameela Devi

Keyword(s):

Fuzzy Controller ◽

Frequency Control ◽

Load Frequency Control ◽

Interconnected System ◽

Load Frequency

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Interval Type-2 Neural Fuzzy Controller-Based Navigation of Cooperative Load-Carrying Mobile Robots in Unknown Environments

Sensors ◽

10.3390/s18124181 ◽

2018 ◽

Vol 18 (12) ◽

pp. 4181 ◽

Cited By ~ 3

Author(s):

Chun-Hui Lin ◽

Shyh-Hau Wang ◽

Cheng-Jian Lin

Keyword(s):

Mobile Robots ◽

Control Method ◽

Fuzzy Controller ◽

Bee Colony ◽

Load Carrying ◽

Navigation Control ◽

Interval Type ◽

Navigation Method ◽

Neural Fuzzy

In this paper, a navigation method is proposed for cooperative load-carrying mobile robots. The behavior mode manager is used efficaciously in the navigation control method to switch between two behavior modes, wall-following mode (WFM) and goal-oriented mode (GOM), according to various environmental conditions. Additionally, an interval type-2 neural fuzzy controller based on dynamic group artificial bee colony (DGABC) is proposed in this paper. Reinforcement learning was used to develop the WFM adaptively. First, a single robot is trained to learn the WFM. Then, this control method is implemented for cooperative load-carrying mobile robots. In WFM learning, the proposed DGABC performs better than the original artificial bee colony algorithm and other improved algorithms. Furthermore, the results of cooperative load-carrying navigation control tests demonstrate that the proposed cooperative load-carrying method and the navigation method can enable the robots to carry the task item to the goal and complete the navigation mission efficiently.

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