All Stories

  1. Type-2 fuzzy logic empowered trajectory prediction for wireless sensor networks
  2. An Alliance for Uncertainty Quantification: Type-2 Fuzzy Logic Systems With Conformal Prediction
  3. Corrigendum to “Fixed-time surrounding control of multi-agent systems under denial-of-service attacks” [Journal of the Franklin Institute, Volume 362, Issue 16, 15 October 2025, 108095]
  4. Expanding conformal prediction to system identification
  5. Fuzzy Logic Strikes Back: Fuzzy ODEs for Dynamic Modeling and Uncertainty Quantification
  6. A state alignment-centric approach to federated system identification: The FedAlign framework
  7. Fixed-Time Surrounding Control of Multi-Agent Systems under Denial-of-Service Attacks
  8. XAI in Wireless Communications: A Case Study on Interpretable 5G Performance Analysis
  9. Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy
  10. FAME: Introducing Fuzzy Additive Models for Explainable AI
  11. FedAlign: Federated Learning with State Alignment for System Identification
  12. Optimization of Centrifugal Fan Design Using Genetic Algorithm and CST Method
  13. Efficient homography estimation using a recursive algorithm with a mixture of weighted Gaussian kernels
  14. Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System
  15. Imitation Learning for Autonomous Driving: Insights from Real-World Testing
  16. Introducing Interval Neural Networks for Uncertainty-Aware System Identification
  17. Real-Time Identification and Self-Tuning PID Controller for 1-DOF Helicopter System
  18. When fractional calculus meets robust learning: Adaptive robust loss functions
  19. Back to the Future: Synergizing Fuzzy and Conventional Control
  20. Exploring Zadeh's General Type-2 Fuzzy Logic Systems for Uncertainty Quantification
  21. Odyssey of Interval Type-2 Fuzzy Logic Systems: Learning Strategies for Uncertainty Quantification
  22. Adaptive Robust L2 Loss Function Using Fractional Calculus
  23. A Novel Federated Learning Framework for System Identification
  24. Design of 2DOF control system fused with artificial intelligence for power enhancement and mitigation of degradation in fuel cell systems
  25. Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
  26. Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
  27. Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems
  28. Re-Exploring Intelligent Systems: Reasoning, Learning, and Control Through the Lens of RLC Circuits
  29. Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
  30. Swarm of drones for surveillance monitoring of a grounded target: an event-triggered approach
  31. Towards capsule endoscope locomotion in large volumes: design, fuzzy modeling, and testing
  32. A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making
  33. Design and Implementation of a Novel Self-Tuning Single Input Fuzzy Controller for PMSM
  34. Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems
  35. Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning based Method for Quadcopters
  36. Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload
  37. Designing practical fuzzy gain scheduling controllers for micromobility applications of permanent magnet synchronous machines
  38. Quality-Aware Autonomous Navigation with Dynamic Path Cost for Vision-Based Mapping toward Drone Landing
  39. More Than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems
  40. Design of 2 DOF Fuzzy Control System for Fuel Cell Systems
  41. Design of a Fuzzy Linear Quadratic Regulator for the Speed Control of SPMSM
  42. Efficient Homography Estimation Using a Recursive Algorithm with Mixture Weighted Gaussian Kernels
  43. Generating High-Quality Prediction Intervals for Regression Tasks via Fuzzy C-Means Clustering-Based Conformal Prediction
  44. Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
  45. Aggressive maneuvering of a quadcopter via differential flatness-based fuzzy controllers: From tuning to experiments
  46. Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy
  47. A framework for designing cognitive trajectory controllers using genetically evolved interval type‐2 fuzzy cognitive maps
  48. Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning
  49. Enhancing the Learning of Interval Type-2 Fuzzy Classifiers with Knowledge Distillation
  50. Integrating Interval Type-2 Fuzzy Sets into Deep Embedding Clustering to Cope with Uncertainty
  51. Correction to: Deep learning frameworks to learn prediction and simulation focused control system models
  52. Deep learning frameworks to learn prediction and simulation focused control system models
  53. Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation, and Tuning
  54. A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
  55. Interval Type-2 Fuzzy Cognitive Map-Based Flight Control System for Quadcopters
  56. Catch me if you can: A pursuit-evasion game with intelligent agents in the Unity 3D game environment
  57. An Intelligent Overtaking Assistant System for Autonomous Vehicles
  58. A Design Approach for General Type-2 Fuzzy Logic Controllers with an Online Scheduling Mechanism
  59. Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers
  60. A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation
  61. Design and development of FOLLY: A self-foldable and self-deployable quadcopter
  62. Parameter Identification and Auto-Tuning of IPMSM for Self-Commissioning
  63. Adaptive backstepping controller design for MIMO cancer immunotherapy using Laguerre polynomials
  64. Type-2 Fuzzy Logic-Based Linguistic Pursuing Strategy Design and Its Deployment to a Real-World Pursuit Evasion Game
  65. A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
  66. A fuzzy logic-based autonomous car control system for the JavaScript Racer game
  67. Altitude and Position Control of Parrot Mambo Minidrone with PID and Fuzzy PID Controllers
  68. Big Bang Big Crunch based Near-Optimal Guidance Law for Interceptor Problem
  69. Human Operator Modelling with Interval-valued Takagi-Sugeno Fuzzy Models
  70. Self-Commissioning of Electrical Parameters for Sensorless IPMSM Drives
  71. Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
  72. A New Insight on the Mappings of Type-2 Fuzzy Logic Systems
  73. Current development on using Rotary Inverted Pendulum as a benchmark for testing linear and nonlinear control algorithms
  74. Parameter optimization of interval Type-2 fuzzy neural networks based on PSO and BBBC methods
  75. Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions
  76. A Vision Based Positioning Gas Leakage Test Automation System
  77. FOLLY: A Self Foldable and Self Deployable Autonomous Quadcopter
  78. Fuzzy Logic Based Self-Driving Racing Car Control System
  79. Hand Gesture Recognition Systems with the Wearable Myo Armband
  80. YAFT: A Fuzzy Logic based Real Time Two-Wheeled Inverted Pendulum Robot
  81. Big Bang-Big Crunch optimized hierarchical sliding-mode control of X-Z inverted pendulum
  82. Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study
  83. Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0
  84. Single Vs. Double Input Interval Type-2 Fuzzy PID Controllers: Which One is Better?
  85. Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs
  86. Optimal PID control of spatial inverted pendulum with big bang–big crunch optimization
  87. Type-2 Fuzzy Logic Control in Computer Games
  88. A rule based fuzzy gesture recognition system to interact with Sphero 2.0 using a smart phone
  89. A smart dermoscope design using artificial neural network
  90. A survey on advancement of hybrid type 2 fuzzy sliding mode control
  91. Landing on the moon with type-2 fuzzy logic
  92. Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic
  93. On the design and gain analysis of IT2-FLC with a case study on an electric vehicle
  94. Hybrid Adaptive Type-2 Fuzzy Tracking Control of Chaotic Oscillation Damping of Power Systems
  95. Revisiting Karnik–Mendel Algorithms in the framework of Linear Fractional Programming
  96. Book review
  97. A Fuzzy Logic Approach to Improve Phone Segmentation - A Case Study of the Dutch Language
  98. Type-2 fuzzified flappy bird control system
  99. Design and experimental validation of single input type-2 fuzzy PID controllers as applied to 3 DOF helicopter testbed
  100. Gradient Descent and Extended Kalman Filter based self-tuning Interval Type-2 Fuzzy PID controllers
  101. Robust Stability Analysis and Systematic Design of Single-Input Interval Type-2 Fuzzy Logic Controllers
  102. Interval type-2 fuzzy PID controllers and an online self-tuning mechanism
  103. An inverse controller design method for interval type-2 fuzzy models
  104. An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems
  105. An IMC based fuzzy self-tuning mechanism for fuzzy PID controllers
  106. A Gradient Descent based online tuning Mechanism for PI Type Single input Interval Type-2 fuzzy logic controllers
  107. A Self-Tuning zSlices-Based General Type-2 Fuzzy PI Controller
  108. An Enhanced Fuzzy Linguistic Term Generation and Representation for time series forecasting
  109. An Internal Model Control based design method for Single input Fuzzy PID controllers
  110. On the fundamental differences between the NT and the KM center of Sets Calculation Methods on the IT2-FLC performance
  111. Revisiting KM algorithms: A Linear Programming approach
  112. Interval Type-2 Fuzzy PID Controllers
  113. An Approach to Represent Time Series Forecasting via Fuzzy Numbers
  114. Big Bang–Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy
  115. General derivation and analysis for input–output relations in interval type-2 fuzzy logic systems
  116. Analysis of the performances of type-1, self-tuning type-1 and interval type-2 fuzzy PID controllers on the Magnetic Levitation system
  117. Robust stability analysis of PD type single input interval type-2 fuzzy control systems
  118. The simplest interval type-2 fuzzy PID controller: Structural analysis
  119. Boundary function based Karnik-Mendel type reduction method for Interval Type-2 Fuzzy PID controllers
  120. Performance evaluation of interval type-2 and online rule weighing based Type-1 Fuzzy PID controllers on a pH process
  121. Peak Observer Based Self-tuning of Type-2 Fuzzy PID Controllers
  122. A simple design method for interval type-2 fuzzy pid controllers
  123. A Type-2 Fuzzy Cascade Control Architecture for Mobile Robots
  124. A big bang-big crunch optimization based approach for interval type-2 fuzzy PID controller design
  125. A one to three input mapping IT2-FLC PID design strategy
  126. Online fuzzy rule weighting method for fuzzy PID controllers via Big Bang-Big Crunch optimization
  127. Self-tuning interval type-2 fuzzy PID controllers based on online rule weighting
  128. Exact inversion of decomposable interval type-2 fuzzy logic systems
  129. Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
  130. Design of an interval type-2 fuzzy logic controller based on conventional PI controller
  131. Type-2 fuzzy model based controller design for neutralization processes
  132. An inversion method for interval type-2 fuzzy logic systems
  133. Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
  134. Interval type-2 fuzzy inverse controller design in nonlinear IMC structure
  135. Adaptive fuzzy Internal Model Control design with bias term compensator
  136. Type-2 Fuzzy Model Inverse Controller Design Based on BB-BC Optimization Method
  137. Inverse fuzzy Model Control with online adaptation via Big Bang-Big Crunch optimization
  138. Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion