Fuzzy Sets and Systems - Theme: Fuzzy control
Information Sciences—Informatics and Computer Science: An International Journal
Stable indirect adaptive control based on discrete-time T--S fuzzy model
Fuzzy Sets and Systems
Adaptive fuzzy controller for nonlinear systems via genetic algorithm
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
An adaptive fuzzy sliding mode controller for remotely operated underwater vehicles
Robotics and Autonomous Systems
An investigation of adaptive fuzzy sliding mode control for robotic manipulators
CA '07 Proceedings of the Ninth IASTED International Conference on Control and Applications
Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system
Fuzzy Sets and Systems
Direct adaptive fuzzy sliding mode control of arc furnace electrode regulator system
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Adaptive sliding mode controller for a class of second-order underactuated systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Enhanced fuzzy sliding mode controller for robotic manipulators
International Journal of Robotics and Automation
Fuzzy supervisor for combining sliding mode control and H∞ control
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Enhanced fuzzy sliding mode controller for a 3-DOF parallel link manipulator
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control
Engineering Applications of Artificial Intelligence
Sliding mode control for uncertain nonlinear systems using RBF neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Adaptive fuzzy output-feedback controller for SISO affine nonlinear systems without state observer
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Sliding mode control with fuzzy compensator of pneumatic muscle actuator
International Journal of Computer Applications in Technology
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In this paper, the fuzzy approximator and sliding mode control (SMC) scheme are considered. We propose two methods of adaptive SMC schemes that the fuzzy logic systems (approximators) are used to approximate the unknown system functions in designing the SMC of nonlinear system. In the first method, a fuzzy logic system is utilized to approximate the unknown function f of the nonlinear system xn= f(x, t)+b(x, t)u and the robust adaptive law is proposed to reduce the approximation errors between the true nonlinear functions and fuzzy approximators. In the second method, two fuzzy logic systems are utilized to approximate the f and b, respectively, and the control law, which is robust to approximation error is also designed. The stabilities of proposed control schemes are proved and these schemes are applied to an inverted pendulum system. The comparisons between the proposed control schemes are shown in simulations