Single-input CMAC control system
Neurocomputing
Systematic design of a stable type-2 fuzzy logic controller
Applied Soft Computing
Design of robust fuzzy neural network controller with reduced rule base
International Journal of Hybrid Intelligent Systems
Self-tuning fuzzy sliding-mode control for time-delay chaotic systems
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Robustness of systems with various PI-like fuzzy controllers for industrial plants with time delay
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Design method for robust PI-like process fuzzy logic controller
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Design and implementation of real-time fuzzy control for thermodynamic plant
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Robustness of systems with various PI-like fuzzy controllers for industrial plants with time delay
WSEAS Transactions on Circuits and Systems
Robust stability of single input fuzzy system for control of industrial plants with time delay
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Design of robust fuzzy logic controllers for complex non-linear processes with time delay
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Comparative study case for interpolative-type synthetic input controllers on a ball and beam system
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
Standalone CMAC control system with online learning ability
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new design of fuzzy logic controller based on generalized orthogonality principle
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Single Input Fuzzy Logic Controller for Unmanned Underwater Vehicle
Journal of Intelligent and Robotic Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive-fuzzy-identification-based sliding-mode control for linear ultrasonic motor
ISTASC'10 Proceedings of the 10th WSEAS international conference on Systems theory and scientific computation
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In existing fuzzy logic controllers (FLCs), input variables are mostly the error and the change-of-error regardless of complexity of controlled plants. Either control input u or the change of control input Δu is commonly used as its output variable. A rule table is then constructed on a two-dimensional (2-D) space. This scheme naturally inherits from conventional proportional-derivative (PD) or proportional-integral (PI) controller. Observing that 1) rule tables of most FLCs have skew-symmetric property and 2) the absolute magnitude of the control input |u| or |Δu| is proportional to the distance from its main diagonal line in the normalized input space, we derive a new variable called the signed distance, which is used as a sole fuzzy input variable in our simple FLC called single-input FLC (SFLC). The SFLC has many advantages: The total number of rules is greatly reduced compared to existing FLCs, and hence, generation and tuning of control rules are much easier. The proposed SFLC is proven to be absolutely stable using Popov criterion. Furthermore, the control performance is nearly the same as that of existing FLCs, which is revealed via computer simulations using two nonlinear plants