Qualitative Modeling Using Dynamic Fuzzy
نویسنده
چکیده
Klaus S hmid and Volker Krebs Universität Karlsruhe (TH), Institut für Regelungsund Steuerungssysteme Kaiserstr. 12, D-76131 Karlsruhe, Germany e-mail: {s hmid, krebs} irs.ete .uni-karlsruhe.de Abstra t. A dynami fuzzy system is a mapping of fuzzy input values onto a fuzzy output value with a feedba k to the input. In this paper, we present a new rule-based inferen e method that an be used in dynami fuzzy systems. The inferen e result is always a fuzzy number. Therefore, the model output ontains both, quantitative and qualitative information. Sin e this fuzzy output is fed ba k to the input, the dynami fuzzy system models in parti ular the dynami behavior of the qualitative information. A simulation example will demonstrate this feature of dynami fuzzy systems. 1 Dynami Fuzzy Systems In most fuzzy systems an inferen e method maps the inputs onto the output a ording to an if-then rule base. The inferen e is a stati mapping but it is possible to obtain a dynami pro ess model by embedding the inferen e in a dynami stru ture. Then, the model output has to be fed ba k in order to represent the model dynami s. Two possible resulting model stru tures are shown in Figures 1 and 2.
منابع مشابه
Qualitative Modeling and Controller Design using Dynamic Fuzzy Systems
Qualitative modeling may be applied when knowledge about a system is only available in linguistic form. The knowledge might be processed by a dynamic fuzzy system consisting of a rule base and an inference method modeling human reasoning. Conventional fuzzy inference methods do not consider this association to human reasoning and therefore are not suitable for the dynamic processing of linguist...
متن کاملModeling and Analysis of Qualitative Systems Based on a New Fuzzy Inference Approach1
Qualitative modeling of technical processes may be accomplished by dynamic fuzzy systems. A new inference method with interpolating rules is proposed as an essential basis for the analysis of this class of systems. Using this approach, the system output is dependent on both an interpolating rule derived from the fuzzy input and the fuzzy input itself. A simple example shows the typical behavior...
متن کاملMixed Qualitative/Quantitative Dynamic Simulation of Processing Systems
In this article the methodology proposed by Li and Wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. The main issue of their approach considers the multivariate statistics of principal component analysis (PCA), along with clustered fuzzy digraphs and reasoning. The PCA and fuz...
متن کاملStability Analysis and Controller Design for Dynamic Fuzzy Systems Based on a New Fuzzy Inference Approach
Qualitative modeling of technical processes may be accomplished by dynamic fuzzy systems. A new inference method with interpolating rules is proposed as an essential basis for the analysis of this class of systems. Using this approach, the system output is dependent on both an interpolating rule derived from the fuzzy input and the fuzzy input itself. A simple example shows the typical behavior...
متن کاملDynamic Modeling of the Electromyographic and Masticatory Force Relation Through Adaptive Neuro-Fuzzy Inference System Principal Dynamic Mode Analysis
Introduction: Researchers have employed surface electromyography (EMG) to study the human masticatory system and the relationship between the activity of masticatory muscles and the mechanical features of mastication. This relationship has several applications in food texture analysis, control of prosthetic limbs, rehabilitation, and teleoperated robots. Materials and Methods: In this paper, w...
متن کامل