Stablization of an inverted pendulum by a high-speed fuzzy logic controller hardware system
Fuzzy Sets and Systems - On Applications of Fuzzy Logic Control to Industry
A reinforcement learning-based architecture for fuzzy logic control
International Journal of Approximate Reasoning - Special issue on fuzzy logic and neural networks for pattern recognition and control
A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control
Fuzzy Sets and Systems - Fuzzy control
Multi-granular Control of Double Inverted Pendulum Based on Universal Logics Fuzzy Neural Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
On the Monotonicity of Single Input Type Fuzzy Reasoning Methods
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Realization of XOR by SIRMs Connected Fuzzy Inference Method
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Control of the TORA system using SIRMs based type-2 fuzzy logic
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
On the equivalence of single input type fuzzy inference methods
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
On the monotonicity of fuzzy-inference methods related to T-S inference method
IEEE Transactions on Fuzzy Systems - Special section on computing with words
A new type of adaptive neural network fuzzy controller in the double inverted pendulum system
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Nonlinear function approximation using fuzzy functional SIRMs inference model
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
SIRMs connected fuzzy inference method adopting emphasis and suppression
Fuzzy Sets and Systems
| Hi-index | 0.20 |
A new fuzzy controller with 6 input items and 1 output item for stabilizing a parallel-type double inverted pendulum system is presented based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model. Each input item is assigned with a SIRM and a dynamic importance degree. The SIRMs and the dynamic importance degrees are designed such that the angular control of the longer pendulum takes the highest priority over the angular control of the shorter pendulum and the position control of the cart when the angle of the longer pendulum is big. By using the SIRMs and the dynamic importance degrees, the priority orders of the three controls are automatically adjusted according to control situations. The proposed fuzzy controller has a simple and intuitively understandable structure, and executes the three controls entirely in parallel. Simulation results show that the proposed fuzzy controller can stabilize completely a parallel-type double inverted pendulum system within 10.0 s for a wide range of the initial angles of the two pendulums. This is the first result for a fuzzy controller to achieve successfully complete stabilization control of a parallel-type double inverted pendulum system.