a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...

1 Introduction Typically, UML is used in the early software development phases. Use-case diagrams serve for requirements analysis. During object-oriented analysis and design, the different use-cases are refined by a number of scenarios using sequence diagrams, collaboration diagrams or activity diagrams. In more elaborated cases, state-charts may be used to specify exact (object) behaviour. In ...

We consider the effect of the underlying logical structure on the asymptotic behavior of space-time diagrams of elementary Boolean cellular automata by focussing on the important case of Rule 110 and its counterparts under various many-valued logics. In particular we show that for a (continuous) probabilistic logic the corresponding rule, dubbed PCA 110, appears to have space-time diagrams with...

This paper presents the theory and formalism of fuzzy causal probabilistic networks (FCPN) and show their current and potential applications in multisensor data fusion. A fuzzy causal probabilistic network (FCPN) is a directed acyclic graph representing the joint probability distributions of a set of fuzzy random variables describing a problem domain. FCPNs extend causal probabilistic networks ...

The concept of fuzzy reasoning has been extended to Petri nets and has been applied for modeling of discrete event systems [1]. However, the theory was not extended to supervisory control of discrete event systems because there is no valid translation for fuzzy Petri nets into ladder logic diagrams. Discrete event systems are time and event dependent and hence digital in nature. However, discre...

Theories of fuzzy sets and type-2 fuzzy sets are powerful mathematical tools for modeling various types of uncertainty. In this paper we introduce the concept of type-2 fuzzy finite state automata and discuss the algebraic study of type-2 fuzzy finite state automata, i.e., to introduce the concept of homomorphisms between two type-2 fuzzy finite state automata, to associate a type-2 fuzzy trans...

1 Current affiliation is Software Research Associates (SRA) Inc., 3-12 Yotsuya, Shinjuku-ku, Tokyo 160-0004 Japan E-mail: [email protected] 2 Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan E-mail: [email protected] Abstract A system is introduced which automatically generates implementation code from the object and dynamic models of an ...

When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of performance of a system. For this, an a priori decision on the number of linguistic terms of the linguistic variables may be required. This may induce a “rigid granularity“, usually finer than that actually required by the system. Fuzzy Decision Diagrams are introduced as an efficient data structure to ...

Conceptual data modeling has become essential for non-traditional application areas. Some conceptual data models have been proposed as tools for database design and object-oriented database modeling. Information in real-world applications is often vague or ambiguous. Currently, a little research is underway on modeling the imprecision and uncertainty in conceptual data modeling and the conceptu...

This paper presents a simplified form of UML state diagrams for modeling agent mobility. Mobile agent has gained more importance technology. The notations used to model agent mobility are focused on capturing agent creation, mobility paths and current agent location. In this paper, we demonstrate how the simplification of the state UML 2.0 Activity Diagrams can be used for modeling mobile agent...