Two-degree-of-freedom fuzzy model using associative memories and its applications
Information Sciences: an International Journal
A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy Control
Intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Editorial: soft computing and hybrid approaches: an introduction to this special issue
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
PI-Fuzzy controllers for integral plants to ensure robust stability
Information Sciences: an International Journal
Design of fuzzy PID controllers using modified triangular membership functions
Information Sciences: an International Journal
International Journal of Intelligent Systems Technologies and Applications
EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
Computational intelligence approach to PID controller design using the universal model
Information Sciences: an International Journal
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
Information Sciences: an International Journal
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
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This paper reports on the synthesis of different flight controllers for an X-Cell mini-helicopter. They are developed on the basis of the most realistic mathematical model currently available. Two hybrid intelligent control systems, combining computational intelligence methodologies with other control techniques, are investigated. For both systems, Mamdani-type fuzzy controllers determine the set points for altitude/attitude control. These fuzzy controllers are designed using a simple rule base. The first scheme consists of conventional SISO PID controllers for z-position and roll, pitch and yaw angles. In the second scheme, two of the previous PID controllers are used for roll and pitch, and a linear regulator is added to control altitude and yaw angle. These control schemes mimic the action of an expert pilot. The designed controllers are tested via simulations. It is shown that the designed controllers exhibit good performance for hover flight and control positioning at slow speed.