A Simple Robust Sliding-Mode Fuzzy-Logic Controller of the Diagonal Type
Journal of Intelligent and Robotic Systems
Stability Analysis of a Simple-Structured Fuzzy Logic Controller
Journal of Intelligent and Robotic Systems
Analytical structure and stability analysis of a fuzzy PID controller
Applied Soft Computing
Systematic design of a stable type-2 fuzzy logic controller
Applied Soft Computing
A new adaptive fuzzy controller with saturation employing influential rule search scheme (IRSS)
International Journal of Knowledge-based and Intelligent Engineering Systems
Self learning fuzzy controllers using iterative learning tuner
Digital Signal Processing
A spatio-temporal fuzzy logic system for process control
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Fuzzy PD system in adaptive control systems having input saturation
Control and Intelligent Systems
Structure and BIBO stability of a three-dimensional fuzzy two-term control system
Mathematics and Computers in Simulation
An error-based on-line rule weight adjustment method for fuzzy PID controllers
Expert Systems with Applications: An International Journal
A robust self-tuning fuzzy PI scheme for DTC induction motor drive
International Journal of Computer Applications in Technology
Technical Communique: Automatic design of fuzzy controllers
Automatica (Journal of IFAC)
Model-based PI-fuzzy control of four-wheeled omni-directional mobile robots
Robotics and Autonomous Systems
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
Engineering Applications of Artificial Intelligence
Fuzzy PID control of induction motor speed regulating system based on PLC
International Journal of Wireless and Mobile Computing
Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator
Expert Systems with Applications: An International Journal
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Conventional fuzzy control can be considered mainly composed of fuzzy two-term control and fuzzy three-term control. In this paper, more systematic analysis and design are given for the conventional fuzzy control. A general robust rule base is proposed for fuzzy two-term control, leaving the optimum tuning to the scaling gains, which greatly reduces the difficulties of design and tuning. The digital implementation of fuzzy control is also presented for avoiding the influence of the sampling time. Based on the results of previous fuzzy two-term controllers, a simplified fuzzy three-term controller is proposed to enhance performance. A two-level tuning strategy is also planned, which first tries to set up the relationship between fuzzy proportional/integral/derivative gain and scaling gains at the high level, and optionally tunes the control resolution at low level. Simulation of different order models show the characteristics of fuzzy control, effectiveness of the new design methodologies, and advantages of the enhanced fuzzy three-term control