Fuzzy modeling and control of multilayer incinerator
Fuzzy Sets and Systems - Special issue: Dedicated to the memory of Richard E. Bellman
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)
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems
Mathematics and Computers in Simulation
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Robust H∞ fuzzy control of nonlinear systems with multiple time delays
International Journal of Systems Science
Hierarchical fuzzy controllers for an astronomical telescope tracking
Applied Soft Computing
Fuzzy goal-driven intelligent control for satellite environmental qualification
Applied Soft Computing
A framework for the automatic synthesis of hybrid fuzzy/numerical controllers
Applied Soft Computing
Classical and fuzzy-genetic autopilot design for unmanned aerial vehicles
Applied Soft Computing
Robust fuzzy controller design for nonlinear multiple time-delay systems by dithers
Fuzzy Sets and Systems
Identification of takagi-sugeno fuzzy systems based on multi-objective genetic algorithms
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability and stabilizability of fuzzy-neural-linear control systems
IEEE Transactions on Fuzzy Systems
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
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
Stability analysis of neural-network interconnected systems
IEEE Transactions on Neural Networks
A high speed railway control system based on the fuzzy control method
Expert Systems with Applications: An International Journal
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Although there are many successful applications of neural networks (NNs), however, there are still some drawbacks in using neural networks (NNs) in any control scheme. In this study an NN-based model is applied for a tension leg platform (TLP) system. A linear differential inclusion (LDI) state-space representation is constructed to represent the dynamics of the NN model. Control performance is achieved by using the parallel distributed compensation (PDC) scheme to ensure the stability of TLP systems subjected to an external wave force. In terms of the stability analysis, the linear matrix inequality (LMI) conditions are derived using the Lyapunov theory to guarantee the robustness design and stability of the TLP system. A simulation example based on practical data is given to demonstrate the feasibility of the proposed fuzzy control approach. In the end, we discuss a practical application with field data on the wave properties and structural characteristics. The results indicate the efficiency and robustness of the proposed NN based approach.