Arya Aghili-Ashtiani

Arya Aghili-Ashtiani
Tafresh University · Department of Electrical Engineering

PhD

About

13
Publications
441
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
62
Citations

Publications

Publications (13)
Article
Full-text available
In this paper, a fuzzy model predictive controller is developed to reduce the emission pollutants in spark ignition internal combustion engines. The path to this control goal is regulating the amount of normalized air-to-fuel ratio in the engine. In order to generate the simulation data, mean value engine model is simulated. To approximate the nonl...
Article
In this paper, a novel intelligent modeling framework is introduced for modeling hybrid dynamical systems which may contain both continuous-valued and discrete-valued dynamics and/or signals. The proposed modeling framework consists of a fuzzy relational hybrid model (FRHM) structure and an online identification algorithm. The FRHM structure has so...
Article
A modified fuzzy relational modeling structure is presented in this paper by proposing a fuzzy relational inner composition. This leads to an integrated framework for representing multilevel fuzzy relational equations which is able to provide multi-dimensional models of complex systems very effectively. A potentially online derivative-based identif...
Article
In this paper, two sets of sufficient conditions are obtained to en-sure the existence and stability of a unique equilibrium point of unforced first-order fuzzy relational dynamical systems by using two different approaches which are both based on the fuzzy relational matrix of the model. In the first approach, the equilibrium point of the system i...
Article
In this paper, we recall centrally symmetric matrices and introduce some new kinds of symmetric matrices such as row-wise symmetric matrices, column-wise symmetric matrices, and plus symmetric matrices. The relations between these kinds of matrices are also presented.Furthermore, a useful result is obtained about the types of the eigenvectors of ce...
Article
In this paper, a harmonious family of fuzzy relational models (FRMs) called \(g\) -normal FRMs is introduced. By selecting a value for the scalar parameter \(g\) , a member of this family is determined for which all parts of the model are configured accordingly. In this regard, a specific configuration for FRMs as well as an appropriate derivative-...
Conference Paper
In this paper, the modified fuzzy relational modeling structure is configured in a harmonious manner to obtain some useful properties with both theoretical and practical significance. An appropriate derivative-based iterative identification algorithm is presented for the proposed structure. The proposed model configuration along with the proposed i...
Conference Paper
In this paper a fuzzy relational extended composition (FREC) is denned and introduced which includes some important special cases. Also the common fuzzy relational compositions (FRCs) can be expressed by these special cases. As the common FRCs are used in fuzzy relational models (FRMs), these newly-denned compositions can be used as well to constru...
Article
This paper investigates the stability analysis of fuzzy relational dynamic systems. A new approach is introduced and a set of sufficient conditions is derived which sustains the unique globally asymptotically stable equilibrium point in a first-order fuzzy relational dynamic system with sumproduct fuzzy composition. This approach is also investigat...
Article
Full-text available
Fuzzy relational compositions (FRCs) are the core of the fuzzy relational models (FRMs) which play a significant role in the fuzzy linguistic modeling. In this paper, we introduce some new fuzzy relational compositions. These FRCs are composed of some new t-norms and t-conorms and have some good properties such as differentiability. In this regard,...
Article
Full-text available
Fuzzy relational models of functions have been developed in recent two decades which has led to fuzzy relational models of dynamic systems which we call fuzzy relational dynamic systems (FRDS). In this paper the effectiveness of smooth fuzzy relational compositions (FRC) in such dynamic models is studied after introducing a general framework for mo...
Article
In this paper, we study and formulate a BP learning algorithm for fuzzy relational neural networks based on smooth fuzzy norms for functions approximation. To elaborate the model behavior more, we have used different fuzzy norms led to a new pair of fuzzy norms. An important practical case in fuzzy relational equations (FREs) is the identification...

Network

Cited By

Projects

Project (1)
Project
To develop appropriate methods and algorithms to assess the performance of control systems and manage them.