Comparing Fuzzy logic with classical controller designs
IEEE Transactions on Systems, Man and Cybernetics
An introduction to fuzzy control
An introduction to fuzzy control
A method for the auto-calibration of PID controllers
Automatica (Journal of IFAC)
Equivalence between fuzzy logic controllers and PI controllers for single input systems
Fuzzy Sets and Systems
Fuzzy control and conventional control: what is (and can be) the real contribution of fuzzy systems?
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Applied Digital Control
Fuzzy if... then rule models and their transformation into one another
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
Fuzzy controllers: synthesis and equivalences
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
PI-Fuzzy controllers for integral plants to ensure robust stability
Information Sciences: an International Journal
Issues concerning the analysis and implementation of a class of fuzzy controllers
Fuzzy Sets and Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
An architecture for adaptive fuzzy control in industrial environments
Computers in Industry
Signal denoising with average sampling
Digital Signal Processing
Fuzzy model reference control with adaptation of input fuzzy sets
Knowledge-Based Systems
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The paper presents two structures of PI predictive fuzzy controllers (PI-P-FCs) with first- and second-order prediction. The PI-P-FCs are meant for the speed control of electrical drives with variable inertia used in several industrial applications. The new development method for these PI-P-FCs is based on guaranteeing a desired domain for the "phase margin" of the fuzzy control systems (FCSs) with PI-P-FCs when they are considered to be equivalent to the linear control systems with linear (conventional) PI controllers. It is also proposed a stability analysis method for the FCSs with PI-P-FCs employing Popov's hyperstability theory and a discrete-time state space mathematical model of the controlled plant. A software tool for the stability analysis of the FCSs, developed in the Matlab and Simulink environment, is presented.