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Hardware implementation and performance comparison of interval type-2 fuzzy logic controllers for real-time applications

https://doi.org/10.1016/j.asoc.2015.03.022

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-33021-6_3openalex-snapshot

Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Design in FPGAs for Real Applications

inferredcites →https://doi.org/10.1016/j.asoc.2011.11.031openalex-snapshot

Embedding a high speed interval type-2 fuzzy controller for a real plant into an FPGA

inferredcites →https://doi.org/10.1016/j.asoc.2012.08.032openalex-snapshot

Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications

inferredcites →https://doi.org/10.1016/j.asoc.2014.01.006openalex-snapshot

A type-2 neural fuzzy system learned through type-1 fuzzy rules and its FPGA-based hardware implementation

inferredcites →https://doi.org/10.1016/j.asoc.2014.04.041openalex-snapshot

A multi-objective optimization of type-2 fuzzy control speed in FPGAs

inferredcites →https://doi.org/10.1016/j.fss.2011.05.015openalex-snapshot

Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation

inferredcites →https://doi.org/10.1016/s0020-0255(01)00069-xopenalex-snapshot

Centroid of a type-2 fuzzy set

inferredcites →https://doi.org/10.1016/s0165-0114(02)00359-7openalex-snapshot

Uncertain rule-based fuzzy logic systems: introduction and new directions

inferredcites →https://doi.org/10.1080/10798587.2013.863531openalex-snapshot

Embedded Average of an Interval Type-2 Fuzzy Systems for Applications in FPGAs

inferredcites →https://doi.org/10.1109/fuzz-ieee20753.2012openalex-snapshot

2012 IEEE International Conference on Fuzzy Systems

inferredcites →https://doi.org/10.1109/fuzz11287.2006openalex-snapshot

2006 IEEE International Conference on Fuzzy Systems

inferredcites →https://doi.org/10.1109/fuzzy.2006.1681899openalex-snapshot

Using Uncertainty Bounds in the Design of an Embedded Real-Time Type-2 Neuro-Fuzzy Speed Controller for Marine Diesel Engines

inferredcites →https://doi.org/10.1109/fuzzy.2007.4295486openalex-snapshot

Parallel Type-2 Fuzzy Logic Co-Processors for Engine Management

inferredcites →https://doi.org/10.1109/fuzzy.2008.4630483openalex-snapshot

Stability analysis of type-2 fuzzy systems

inferredcites →https://doi.org/10.1109/fuzzy.2008.4630559openalex-snapshot

Towards an efficient type-reduction method for interval type-2 fuzzy logic systems

inferredcites →https://doi.org/10.1109/fuzzy.2011.6007453openalex-snapshot

An adaptive type-2 fuzzy logic controller for dynamic positioning

inferredcites →https://doi.org/10.1109/icciautom.2011.6356696openalex-snapshot

On-line control of the inverted pendulum with type-2 fuzzy logic controller

inferredcites →https://doi.org/10.1109/nafips.2010.5548418openalex-snapshot

A simple approach for designing a type-2 fuzzy controller for a mobile robot application

inferredcites →https://doi.org/10.1109/nafips.2011.5752022openalex-snapshot

Optimal design of type-2 fuzzy controllers with a multiple objective genetic algorithm for FPGA implementation

inferredcites →https://doi.org/10.1109/t-c.1970.223019openalex-snapshot

On Division by Functional Iteration

inferredcites →https://doi.org/10.1109/tfuzz.2002.803496openalex-snapshot

Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems

inferredcites →https://doi.org/10.1109/tfuzz.2006.879986openalex-snapshot

Interval Type-2 Fuzzy Logic Systems Made Simple

inferredcites →https://doi.org/10.1109/tie.2008.2009524openalex-snapshot

FPGA Implementation of an Embedded Robust Adaptive Controller for Autonomous Omnidirectional Mobile Platform

inferredcites →https://doi.org/10.1109/tie.2009.2017557openalex-snapshot

Reinforcement Ant Optimized Fuzzy Controller for Mobile-Robot Wall-Following Control

inferredcites →https://doi.org/10.1109/tii.2011.2166786openalex-snapshot

Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot

inferredcites →https://doi.org/10.1109/tnn.2009.2031375openalex-snapshot

2010 IEEE World Congress on Computational Intelligence (WCCI)

inferredcites →https://doi.org/10.1109/tsmcb.2008.927713openalex-snapshot

A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation

inferredcites →https://doi.org/10.1109/tsmcb.2009.2029986openalex-snapshot

On the Stability of Interval Type-2 TSK Fuzzy Logic Control Systems

inferredcites →https://doi.org/10.1145/1057661openalex-snapshot

Proceedings of the 15th ACM Great Lakes symposium on VLSI

inferredcites →https://doi.org/10.1145/988952.989063openalex-snapshot

Hardware architecture and FPGA implementation of a type-2 fuzzy system

inferredcites →https://doi.org/10.23919/wac.2018.8430394openalex-snapshot

2018 World Automation Congress

inferredcites →https://doi.org/10.3233/ifs-141390openalex-snapshot

On the justification to use a novel simplified interval type-2 fuzzy logic system

inferredcites →https://doi.org/10.5430/air.v3n2p24openalex-snapshot

On-line control of nonlinear systems using a novel type-2 fuzzy logic method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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First-Order Rule Partitions-Based Decomposition Technique of T1 and It2 Rule-Based Fuzzy Systems for Computational and Memory Efficiency

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Fast Execution of Black-Box Algorithms Through a Piece-Wise Linear Interpolation Technique

inferred← citeshttps://doi.org/10.1007/s40815-016-0240-7openalex-snapshot

Gain Scheduling Technique using MIMO Type-2 Fuzzy Logic System for LFC in Restructure Power System

inferred← citeshttps://doi.org/10.1016/j.isatra.2017.09.009openalex-snapshot

Indirect predictive type-2 fuzzy neural network controller for a class of nonlinear input - delay systems

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Configurable Hardware Accelerator Architecture for a Takagi-Sugeno Fuzzy Controller

inferred← citeshttps://doi.org/10.1109/iciea.2017.8283144openalex-snapshot

FPGA implementation of an interval type-2 TSK fuzzy neural system for illuminant estimation and white balance

inferred← citeshttps://doi.org/10.1109/icm50269.2020.9331498openalex-snapshot

FPGA Implementation of Interval Type-2 Fuzzy System Based on Nie-Tan Algorithm

inferred← citeshttps://doi.org/10.1109/isie.2016.7744917openalex-snapshot

Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller

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Robust State Estimation Method for Adaptive Load Frequency Control of Interconnected Power System in a Restructured Environment

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Circuit Implementation of Data-Driven TSK-Type Interval Type-2 Neural Fuzzy System With Online Parameter Tuning Ability

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Feedback error learning-based type-2 fuzzy neural network predictive controller for a class of nonlinear input delay systems

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An Improved Nonstationary Fuzzy System Approach versus Type-2 Fuzzy System for the Lifting Motion Control with Human-in-the-Loop Simulation

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Design of real-time reconfigurable fuzzy logic controller with M-FRHC rule reduction technique

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Review of Recent Type-2 Fuzzy Controller Applications

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Advances in Load Frequency Control Topologies for Frequency Stability in Power Grids: A Review

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PID and Fuzzy Logic Control of Ball and Beam System Using Particle Swarm Optimization

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