All Stories

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