Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Criteria for robust stability and stabilization of uncertain linear systems with state delay
Automatica (Journal of IFAC)
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
An adaptive neural fuzzy filter and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
An approach to stability criteria of neural-network control systems
IEEE Transactions on Neural Networks
Neural network-based control design: an LMI approach
IEEE Transactions on Neural Networks
Improved training of neural networks for the nonlinear active control of sound and vibration
IEEE Transactions on Neural Networks
Stability analysis of neural-network interconnected systems
IEEE Transactions on Neural Networks
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Stability analysis and robustness design of nonlinear systems: An NN-based approach
Applied Soft Computing
Expert Systems with Applications: An International Journal
Mathematics and Computers in Simulation
A hybrid artificial intelligence sales-forecasting system in the convenience store industry
Human Factors in Ergonomics & Manufacturing
H∞ output tracking fuzzy control for nonlinear systems with time-varying delay
Applied Soft Computing
Computer-aided ergonomics and visualization for improving 3D display techniques
Human Factors in Ergonomics & Manufacturing
SIP-enabled Surveillance Patrol Robot
Robotics and Computer-Integrated Manufacturing
A PCA-FBPN Approach for Job Cycle Time Estimation in a Wafer Fabrication Factory
International Journal of Fuzzy System Applications
Computers and Industrial Engineering
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In this study, we present a neural network (NN) based approach which combines H^~ control performance with Tagagi-Sugeno (T-S) fuzzy control for use in nonlinear structural systems. The NN model is adopted to deal with the modeling errors of nonlinear structural systems under external excitation. Fuzzy-model-based H^~ control is designed by means of linear matrix inequality (LMI) methods as derived from the Lyapunov theory. A tuned mass damper is designed on a nonlinear structural system where the first frequency mode is utilized to reduce the state response under external resonant disturbances. Then the feedback gain of the said fuzzy controller needed to stabilize a nonlinear structural system is calculated using the Matlab LMI toolbox. The proposed method is then applied to a nonlinearly tuned mass damper system. The simulation results show that not only is the proposed method able to stabilize a nonlinear structural system, but also has strong robustness in terms of preventing modeling errors and external excitations.