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5 results on '"Naser Pariz"'

2. Adaptive Transformed Unscented Simplex Cubature Kalman Filter for Target Tracking

Author

Naser Pariz and Seyed Hamed Hashemi

Subjects
Simplex, Computer science, Cubature kalman filter, Physics::Medical Physics, 020208 electrical & electronic engineering, 020206 networking & telecommunications, 02 engineering and technology, Tracking (particle physics), Measurement equations, Computer Science Applications, Theoretical Computer Science, Task (project management), Nonlinear system, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Computer Science::Databases
Abstract

This paper peruses the Doppler-bearing passive target tracking (DBT), a task that is subject to the nonlinear measurement equations. These measurement equations form the target tracking a nontrivia...

Published
2021
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3. A new fractional-order developed type-2 fuzzy control for a class of nonlinear systems

Author

Naser Pariz, Mehdi Siahi, Roohollah Barzamini, and Akram Sedaghati

Subjects
0209 industrial biotechnology, Class (computer programming), Artificial neural network, Computer science, 02 engineering and technology, Fuzzy control system, Type (model theory), Computer Science Applications, Theoretical Computer Science, Nonlinear system, 020901 industrial engineering & automation, Control and Systems Engineering, Control theory, Control system, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Robust control
Abstract

In this paper, a novel fractional-order adaptive controller is presented for a class of nonlinear systems with unknown dynamics. The dynamics of the system is considered to be fully unknown. The mu...

Published
2021
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4. An application of adaptive synchronization of uncertain chaotic system in secure communication systems

Author

Naser Pariz and Milad Mohadeszadeh

Subjects
Projective synchronization, 0209 industrial biotechnology, business.industry, Computer science, 020209 energy, Fractional-order system, Chaotic, 02 engineering and technology, Function (mathematics), Nonlinear Sciences::Chaotic Dynamics, 020901 industrial engineering & automation, Secure communication, Hardware and Architecture, Mechanics of Materials, Control theory, Chaotic systems, ComputerSystemsOrganization_MISCELLANEOUS, Modeling and Simulation, Synchronization (computer science), 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Robust control, business, Software
Abstract

Chaotic secure communication via synchronization of chaotic systems has attracted increasing attention in recent years. This note aims to introduce the function projective synchronization (FPS) of ...

Published
2021
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5. Global asymptotic stabilisation of rational dynamical systems based on solving BMI

Author

Mohammad Reza Jahed-Motlagh, Ali Vahidian Kamyad, Naser Pariz, and Farhad Esmaili

Subjects
0209 industrial biotechnology, Rational system, Dynamical systems theory, Polynomial transformation, 020208 electrical & electronic engineering, Mathematical analysis, Linear matrix inequality, Zero (complex analysis), 02 engineering and technology, State (functional analysis), Lipschitz continuity, Computer Science Applications, Matrix polynomial, 020901 industrial engineering & automation, Control and Systems Engineering, 0202 electrical engineering, electronic engineering, information engineering, Applied mathematics, Mathematics
Abstract

In this paper, the global asymptotic stabiliser design of rational systems is studied in detail. To develop the idea, the state equations of the system are transformed to a new coordinate via polynomial transformation and the state feedback control law. This in turn is followed by the satisfaction of the linear growth condition (i.e. Lipschitz at zero). Based on a linear matrix inequality solution, the system in the new coordinate is globally asymptotically stabilised and then, leading to the global asymptotic stabilisation of the primary system. The polynomial transformation coefficients are derived by solving the bilinear matrix inequality problem. To confirm the capability of this method, three examples are highlighted.

Published
2016
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