Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Identification of non-linear system structure and parameters using regime decomposition
Automatica (Journal of IFAC)
Necessary conditions for some typical fuzzy systems as universal approximators
Automatica (Journal of IFAC)
Fuzzy Modeling for Control
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Approximation accuracy analysis of fuzzy systems as function approximators
IEEE Transactions on Fuzzy Systems
Decomposition property of fuzzy systems and its applications
IEEE Transactions on Fuzzy Systems
Fuzzy piecewise multilinear and piecewise linear systems as universal approximators in Sobolev norms
IEEE Transactions on Fuzzy Systems
Robust stability analysis and design method for the fuzzy feedback linearization regulator
IEEE Transactions on Fuzzy Systems
Feedback linearization control design for systems with fuzzy uncertainty
IEEE Transactions on Fuzzy Systems
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
Iterative inversion of fuzzified neural networks
IEEE Transactions on Fuzzy Systems
Nonlinear internal model control: application of inverse model based fuzzy control
IEEE Transactions on Fuzzy Systems
Inverse controller design for fuzzy interval systems
IEEE Transactions on Fuzzy Systems
An educational tool for fuzzy control
IEEE Transactions on Fuzzy Systems
A stable one-step-ahead predictive control of non-linear systems
Automatica (Journal of IFAC)
Adaptive control using neural networks and approximate models
IEEE Transactions on Neural Networks
Nonlinear control structures based on embedded neural system models
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
An approximate internal model-based neural control for unknown nonlinear discrete processes
IEEE Transactions on Neural Networks
Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
Expert Systems with Applications: An International Journal
Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
International Journal of Applied Mathematics and Computer Science
Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays
International Journal of Applied Mathematics and Computer Science
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This paper examines the inverse control problem of nonlinear systems with stable dynamics using a fuzzy modeling approach. Indeed, based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear system is represented by a Takagi-Sugeno (TS) fuzzy system, which is then inverted for designing a fuzzy controller. As an application of the proposed inverse control methodology, two popular control structures, namely, feedback linearization and Nonlinear Internal Model Control (NIMC) are investigated. Moreover, the paper points out that, under some conditions, both of the control structures are equivalent and naturally implement a Smith predictor in the presence of time delays.