Sharif Digital Repository

Realizability of fractional-order impedances by passive electrical networks composed of a fractional capacitor and RLC components

Author

Sarafraz, M. S.

Pub. Year

2015

Subjects

Fractional capacitor. / Fractional-order circuit. / Fractional-order impedance. / Realizability conditions. / Capacitors. / Passive networks. / Algebraic conditions. / Electrical circuit. / Electrical networks. / Fractional order. / Fractional order impedance. / Fractional order transfer function. / Impedance functions. / Transfer functions.

Passive realization of fractional-order impedances by a fractional element and rlc components: conditions and procedure

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2017

Subjects

Fractional capacitor. / Fractional inductor. / Fractional-order circuit. / Fractional-order impedance. / Electrical engineering. / Electronics engineering. / Fractional order impedance. / Imaginary axis. / Impedance functions. / Nocv1. / Realizability. / Realizability conditions. / Special class. / Passive networks.

A unified optimization-based framework to adjust consensus convergence rate and optimize the network topology in uncertain multi-agent systems

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2021

Subjects

NP-hard. / State space methods. / Topology. / Communication graphs. / Consensus problems. / Convergence rates. / Network topology. / Optimization problems. / State - space models. / Unified optimizations. / Multi agent systems.

Uncertain multiagent systems with distributed constrained optimization missions and event-triggered communications: application to resource allocation

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2022

Subjects

Costs. / Multi-agent systems. / Optimization. / Uncertain multiagent systems. / Constrained optimization. / Distributed computer systems. / Dynamical systems. / Heuristic algorithms. / Linear programming. / Multi agent systems. / Nonlinear dynamical systems. / Robust control. / Software agents. / Uncertainty analysis. / Communication application. / Distributed constrained optimisation. / Distributed optimization. / Event-triggered. / Event-triggered communication. / Heuristics algorithm. / Linear-programming. / Optimisations. / Resources allocation. / Uncertain multiagent system. / Resource allocation.

Uncertain multiagent systems with distributed constrained optimization missions and event-triggered communications: application to resource allocation

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2023

Subjects

Distributed optimization. / Event-triggered communication. / Resource allocation. / Uncertain multiagent systems.

Robust output regulation: optimization-based synthesis and event-triggered implementation

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2021

Subjects

Control systems. / Mathematical models. / Continuous time control. / Design procedure. / Digital platforms. / Event-triggered. / Output regulation. / Parametric family. / System output. / Target values. / Continuous time systems.

Robust output regulation: optimization-based synthesis and event-triggered implementation

Author

Sarafraz, M. S.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2022

Subjects

element-wise uncertainty. / Event-triggered control. / optimization-based synthesis. / robust control. / Control systems. / Mathematical models. / Continuous time control. / Design procedure. / Digital platforms. / Event-triggered. / Output regulation. / Parametric family. / System output. / Target values. / Continuous time systems.

Domain adaptation and generalization of functional medical data: a systematic survey of brain data

Author

Sarafraz, G.

Pub. Year

2024

Subjects

Domain adaptation. / Domain generalization. / Learning algorithms. / Brain data. / Functional medical data. / Generalisation. / Machine learning algorithms. / Medical data. / Performance. / Test data. / Training data. / Machine learning.

Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results

Author

Behzadafshar, K.

Pub. Year

2017

Subjects

Artificial neural network. / Genetic algorithm. / Young’s modulus. / Acoustic wave velocity. / Compressive strength. / Deformation. / Forecasting. / Genetic algorithms. / Granite. / Mean square error. / Neural networks. / Regression analysis. / Seismic waves. / Sensitivity analysis. / Wave propagation. / Artificial neural network models. / Engineering practices. / Hybrid genetic algorithms. / Hybrid intelligent model. / Rock deformation. / Root mean square errors. / Simple regression analysis. / Uniaxial compressive strength. / Rocks.

Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results

Author

Behzadafshar, K.

Publisher

Springer Verlag,

Pub. Year

2019

Subjects

Artificial neural network. / Genetic algorithm. / Young’s modulus. / Acoustic wave velocity. / Compressive strength. / Deformation. / Forecasting. / Granite. / Mean square error. / Neural networks. / Regression analysis. / Seismic waves. / Sensitivity analysis. / Wave propagation. / Artificial neural network models. / Engineering practices. / Hybrid genetic algorithms. / Hybrid intelligent model. / Rock deformation. / Root mean square errors. / Simple regression analysis. / Uniaxial compressive strength. / Genetic algorithms. / Laboratory method. / Numerical model. / Young modulus. / Malaysia.