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Design of Indirect Fractional Order IMC Controller for Fractional Order Processes

IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
In this brief, indirect design estimation of fractional order systems is proposed. In indirect fractional order approach, fractional order plant is shifted in the frequency domain and the equivalent plant is modeled by employing binomial approximation ...
Rishika Trivedi, P. K. Padhy
semanticscholar   +2 more sources

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays

Neural Networks, 2021
In this article, we discuss bipartite fixed-time synchronization for fractional-order signed neural networks with discontinuous activation patterns.
K. Udhayakumar   +3 more
semanticscholar   +1 more source

Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults

IEEE Transactions on Neural Networks and Learning Systems, 2020
Backstepping control for fractional-order nonlinear systems (FONSs) requires the analytic calculation of fractional derivatives of certain complicated stabilizing functions, which becomes prohibitive as the order of the system increases.
Heng Liu   +4 more
semanticscholar   +1 more source

Adaptive Fuzzy Backstepping Dynamic Surface Control of Strict-Feedback Fractional-Order Uncertain Nonlinear Systems

IEEE transactions on fuzzy systems, 2020
This paper presents a novel adaptive fuzzy backstepping dynamic surface control (DSC) scheme for a class of single-input single-output strict-feedback fractional-order uncertain nonlinear systems.
Zhiyao Ma, Hongjun Ma
semanticscholar   +1 more source

Global Stabilization of Fractional-Order Memristor-Based Neural Networks With Time Delay

IEEE Transactions on Neural Networks and Learning Systems, 2020
This paper addresses the global stabilization of fractional-order memristor-based neural networks (FMNNs) with time delay. The voltage threshold type memristor model is considered, and the FMNNs are represented by fractional-order differential equations ...
Jia Jia   +4 more
semanticscholar   +1 more source

Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks

Neurocomputing, 2020
This paper analyzes the stability and passivity problems for a class of memristor-based fractional-order competitive neural networks (MBFOCNNs) by using Caputo’s fractional derivation.
G. Rajchakit   +5 more
semanticscholar   +1 more source

A wavelet based numerical scheme for fractional order SEIR epidemic of measles by using Genocchi polynomials

Numerical Methods for Partial Differential Equations, 2020
Epidemiology is the glorious discipline underlying medical research, public health practice, and health care evaluation. Nowadays, research on disease models with anonymous parameters is a popular issue for researchers working in epidemiology.
Sunil Kumar   +3 more
semanticscholar   +1 more source

Chaotic dynamics of a fractional order HIV-1 model involving AIDS-related cancer cells

, 2020
Mathematical models in epidemiology have been studied in the literature to understand the mechanism that underlies AIDS-related cancers, providing us with a better insight towards cancer immunity and viral oncogenesis.
Parvaiz Ahmad Naik   +3 more
semanticscholar   +1 more source

Composite Learning Adaptive Dynamic Surface Control of Fractional-Order Nonlinear Systems

IEEE Transactions on Cybernetics, 2020
Adaptive dynamic surface control (ADSC) is effective for solving the complexity problem in adaptive backstepping control of integer-order nonlinear systems.
Heng Liu, Yongping Pan, Jinde Cao
semanticscholar   +1 more source

A fractional-order hyper-chaotic economic system with transient chaos

, 2020
We introduce for the first time a fractional-order hyperchaotic economic system. In this system, chaos generation depends upon the value of fractional-order. For certain fractional orders, a sustained regime of chaos is obtained.
Amin Yousefpour   +4 more
semanticscholar   +1 more source

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