Neuro-fuzzy Model-based Control
Journal of Intelligent and Robotic Systems
Fuzzy systems with overlapping Gaussian concepts: approximation properties in Sobolev norms
Fuzzy Sets and Systems - Fuzzy models
Approximation theory of fuzzy systems based upon genuine many-valued implications: MIMO Cases
Fuzzy Sets and Systems - Fuzzy models
Granularity and specificity in fuzzy rule-based systems
Granular computing
Automatic generation of fuzzy rules for the control of a mobile robot
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
A reinforcement learning adaptive fuzzy controller for robots
Fuzzy Sets and Systems - Theme: Modeling and control
Hierarchical TS fuzzy system and its universal approximation
Information Sciences—Informatics and Computer Science: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Fuzzy adaptive terminal control for near space vehicle
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Set-membership fuzzy filtering for nonlinear discrete-time systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An evolving-onstruction scheme for fuzzy systems
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy logic control of discrete-time dynamical systems
Automatica (Journal of IFAC)
Universal fuzzy controllers based on generalized T--S fuzzy models
Fuzzy Sets and Systems
Information Sciences: an International Journal
International Journal of Fuzzy System Applications
Design and Analysis of an Improved Approximated Fuzzy Logic Controller for Shunt Active Power Filter
International Journal of Fuzzy System Applications
Information Sciences: an International Journal
Approximating the optimal mapping for weapon target assignment by fuzzy reasoning
Information Sciences: an International Journal
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In this paper, the approximation properties of MIMO fuzzy systems generated by the product inference are discussed. We first give an analysis of fuzzy basic functions (FBF's) and present several properties of FBF's. Based on these properties of FBF's, we obtain several basic approximation properties of fuzzy systems: 1) basic approximation property which reveals the basic approximation mechanism of fuzzy systems; 2) uniform approximation bounds which give the uniform approximation bounds between the desired (control or decision) functions and fuzzy systems; 3) uniform convergent property which shows that fuzzy systems with defined approximation accuracy can always be obtained by dividing the input space into finer fuzzy regions; and 4) universal approximation property which shows that fuzzy systems are universal approximators and extends some previous results on this aspect. The similarity between fuzzy systems and mathematical approximation is discussed and an idea to improve approximation accuracy is suggested based on uniform approximation bounds