Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization

DOI10.1016/j.fss.2012.02.006zbMath1254.93023OpenAlexW2089951045MaRDI QIDQ695247

Jürgen Adamy, Andreas Schwung

Publication date: 20 December 2012

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2012.02.006

zbMATH Keywords

nonlinear dynamic systemsmixed-integer optimizationstructural modelingdiscrete-time recurrent fuzzy systemslinguistic automaton

Mathematics Subject Classification ID

Uses Software

• BARON
• CPLEX
• ANFIS
• UMDES
• Hybrid Toolbox

Cites Work

• Unnamed Item
• Unnamed Item
• Qualitative simulation
• Towards an analysis of linguistic modelling
• Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems
• A neuro-fuzzy approach to optimize hierarchical recurrent fuzzy systems
• Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
• Neuro-fuzzy systems for function approximation
• Propositional logic in control and monitoring problems
• Control of systems integrating logic, dynamics, and constraints
• Equilibria of recurrent fuzzy systems
• Regularity and chaos in recurrent fuzzy systems.
• Ten years of genetic fuzzy systems: Current framework and new trends.
• Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining.
• Identification and prediction using recurrent compensatory neuro-fuzzy systems
• Sequential pattern recognition employing recurrent fuzzy systems
• Introduction to Discrete Event Systems
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

This page was built for publication: Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization