Parameter Tuning of Stable Fuzzy Controllers
Journal of Intelligent and Robotic Systems
Decoupled fuzzy controller design with single-input fuzzy logic
Fuzzy Sets and Systems - Control and applications
Fuzzy adaptive approach to fuzzy controllers with spacial model
Fuzzy Sets and Systems - Fuzzy control
Design and Implementation of Fuzzy Sliding-Mode Controller for a Wedge Balancing System
Journal of Intelligent and Robotic Systems
The robust stability of seesaw system with fuzzy logic control
International Journal of Computer Applications in Technology
New adaptive fuzzy sliding-mode control for uncertain non-linear systems
International Journal of Computer Applications in Technology
NOLASC'05 Proceedings of the 4th WSEAS International Conference on Non-linear Analysis, Non-linear Systems and Chaos
A self-tuning fuzzy logic design for perturbed time-delay systems with nonlinear input
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Automatica (Journal of IFAC)
IEEE Transactions on Fuzzy Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Fuzzy logic based congestion avoidance in TCP/AQM networks
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
A procedure is presented for designing fuzzy controllers based upon variable structures techniques. Three such controllers are presented: the fuzzy equivalents of sliding-mode controllers, saturating controllers, and tanh controllers. By using an approach based upon variables structures (VSS) techniques, the stability of each of these controllers is assured. By using a sliding surface, the order of the rule base is reduced to size r×m, where r is the number of inputs and m is the number of fuzzification levels. This combination makes the proposed design procedure able to generate simple controllers with guaranteed stability properties. To illustrate the proposed design procedure, fuzzy controllers are designed for a ball-and-beam system. It is demonstrated that in spite of this system being a fourth-order unstable system, the proposed design procedure results in simple stable fuzzy controllers