Comparing Fuzzy logic with classical controller designs
IEEE Transactions on Systems, Man and Cybernetics
An introduction to fuzzy control
An introduction to fuzzy control
Theoretical aspects of fuzzy control
Equivalence between fuzzy logic controllers and PI controllers for single input systems
Fuzzy Sets and Systems
Towards a paradigm for fuzzy logic control
Automatica (Journal of IFAC)
PID type fuzzy controller and parameters adaptive method
Fuzzy Sets and Systems
Fuzzy engineering
Fuzzy Control
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
The Rcs Handbook: Tools for Real Time Control Systems Software Development
The Rcs Handbook: Tools for Real Time Control Systems Software Development
Multistage Fuzzy Control: A Prescriptive Approach
Multistage Fuzzy Control: A Prescriptive Approach
Fuzzy Model Identification for Control
Fuzzy Model Identification for Control
Typical Takagi--Sugeno PI and PD fuzzy controllers: analytical structures and stability analysis
Information Sciences—Informatics and Computer Science: An International Journal
Computers in Industry - Special issue: Soft computing in industrial applications
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Information Sciences: an International Journal
First order linear fuzzy differential equations under generalized differentiability
Information Sciences: an International Journal
Information Sciences: an International Journal
Combining fuzzy, PID and regulation control for an autonomous mini-helicopter
Information Sciences: an International Journal
Optimisation criteria in development of fuzzy controllers with dynamics
Engineering Applications of Artificial Intelligence
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Information Sciences: an International Journal
Analysis of direct action fuzzy PID controller structures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust PI controller design for nonlinear systems via fuzzy modeling approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Interpolation with function space representation of membership functions
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy controllers: synthesis and equivalences
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
Design of fuzzy PID controllers using modified triangular membership functions
Information Sciences: an International Journal
EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
On the design of an obstacle avoiding trajectory: Method and simulation
Mathematics and Computers in Simulation
Short communication: New results in modelling derived from Bayesian filtering
Knowledge-Based Systems
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
MIMO adaptive fuzzy terminal sliding-mode controller for robotic manipulators
Information Sciences: an International Journal
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Model-based PI-fuzzy control of four-wheeled omni-directional mobile robots
Robotics and Autonomous Systems
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New PI-fuzzy controllers comprising Takagi-Sugeno and Mamdani fuzzy systems to control a class of integral plants specific to servo systems are proposed in this paper. Linear PI controllers are designed in the first phase. They are tuned using the Extended Symmetrical Optimum method to ensure the desired overshoot and settling time with respect to step setpoint modifications and three types of load disturbance inputs. This type of PI controller design guarantees robust stability of the closed-loop system in response to parametric variations in a controlled plant. Following this, based on the results from the linear case and the modal equivalence principle, an original development method for PI-fuzzy controllers is proposed. Some experimental results are included to illustrate the effectiveness of the design process.