Fuzzy model-based robust networked control for a class of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
PID Control Using Presearched Genetic Algorithms for a MIMO System
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive fuzzy sliding mode controller for linear systems with mismatched time-varying uncertainties
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Designing fuzzy controllers from a variable structures standpoint
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Robust fuzzy control for a plant with fuzzy linear model
IEEE Transactions on Fuzzy Systems
Nonsingular Terminal Sliding Mode Control of Robot Manipulators Using Fuzzy Wavelet Networks
IEEE Transactions on Fuzzy Systems
Simplified type-2 fuzzy sliding controller for wing rock system
Fuzzy Sets and Systems
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In this paper, a novel fuzzy-sliding and fuzzy-integralsliding controller (FSFISC) is designed to position the yaw and pitch angles of a twin-rotor multi-input-multi-output system (TRMS). With the coupling effects, which are considered as the uncertainties, the highly coupled nonlinear TRMS is pseudodecomposed into a horizontal subsystem and a vertical subsystem (VS). The proposed FSFISC consists of a fuzzy-sliding controller and an FISC for the horizontal and the VSs, respectively. The reaching conditions and the stability of the TRMS with the proposed controller are guaranteed. Simulation results are included to indicate that TRMS with the presented FSFISC can greatly alleviate the chattering effect and remain robust to the external disturbances. In addition, the performance comparisons with the proportional-integral-differential (PID) approach using a modified real-value-type genetic algorithm are provided to show that the FSFISC has better performance in the aspects of error and control indexes.