In recent years, some efforts have been devoted to nonlinear dynamics of fractional discrete-time systems. A number of papers have so far discussed results related to the presence of chaos in fractional maps. However, less results have been published to date regarding the presence of hyperchaos in fractional discrete-time systems. This paper aims to bridge the gap by introducing a new three-dimensional fractional map that shows, for the first time, complex hyperchaotic behaviors. A detailed analysis of the map dynamics is conducted via computation of Lyapunov exponents, bifurcation diagrams, phase portraits, approximated entropy and Co complexity. Simulation results confirm the effectiveness of the approach illustrated herein.

In recent years, some efforts have been devoted to nonlinear dynamics of fractional discrete-time systems. A number of papers have so far discussed results related to the presence of chaos in fractional maps. However, less results have been published to date regarding the presence of hyperchaos in fractional discrete-time systems. This paper aims to bridge the gap by introducing a new three-dimensional fractional map that shows, for the first time, complex hyperchaotic behaviors. A detailed analysis of the map dynamics is conducted via computation of Lyapunov exponents, bifurcation diagrams, phase portraits, approximated entropy and Co complexity. Simulation results confirm the effectiveness of the approach illustrated herein.

In recent years, some efforts have been devoted to nonlinear dynamics of fractional discrete-time systems. A number of papers have so far discussed results related to the presence of chaos in fractional maps. However, less results have been published to date regarding the presence of hyperchaos in fractional discrete-time systems. This paper aims to bridge the gap by introducing a new three-dimensional fractional map that shows, for the first time, complex hyperchaotic behaviors. A detailed analysis of the map dynamics is conducted via computation of Lyapunov exponents, bifurcation diagrams, phase portraits, approximated entropy and Co complexity. Simulation results confirm the effectiveness of the approach illustrated herein.

In recent years, some efforts have been devoted to nonlinear dynamics of fractional discrete-time systems. A number of papers have so far discussed results related to the presence of chaos in fractional maps. However, less results have been published to date regarding the presence of hyperchaos in fractional discrete-time systems. This paper aims to bridge the gap by introducing a new three-dimensional fractional map that shows, for the first time, complex hyperchaotic behaviors. A detailed analysis of the map dynamics is conducted via computation of Lyapunov exponents, bifurcation diagrams, phase portraits, approximated entropy and Co complexity. Simulation results confirm the effectiveness of the approach illustrated herein.

In recent years, some efforts have been devoted to nonlinear dynamics of fractional discrete-time systems. A number of papers have so far discussed results related to the presence of chaos in fractional maps. However, less results have been published to date regarding the presence of hyperchaos in fractional discrete-time systems. This paper aims to bridge the gap by introducing a new three-dimensional fractional map that shows, for the first time, complex hyperchaotic behaviors. A detailed analysis of the map dynamics is conducted via computation of Lyapunov exponents, bifurcation diagrams, phase portraits, approximated entropy and Co complexity. Simulation results confirm the effectiveness of the approach illustrated herein.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Most of the papers published so far on fractional discrete systems are related to theoretical results on their chaotic behaviors or to applications based on the mathematical modeling of the chaotic phenomena. No paper has been published to date regarding the hardware implementation of hyperchaotic fractional maps. This manuscript makes a contribution to the topic by presenting the first example of hardware implementation of hyperchaotic fractional maps. In particular, by exploiting the Grunwald–Letnikov difference operator, the paper introduces a new version of the fractional Grassi–Miller map. The system dynamics are analyzed via bifurcation diagrams and Lyapunov exponents, showing that the conceived map is hyperchaotic when the fractional order � belongs to the interval [0.966,1]. Finally, a hardware implementation of the fractional map is illustrated, with the aim to concretely highlight the presence of hyperchaos in physical systems described by fractional difference equations. Arduino, an open-source platform, has been used to illustrate the simplicity as well as the feasibility of the implementation.

Tunnel FETisone of thealternativedevicefor low power electronics having steep subthreshold swing and lower leakage current than conventional MOSFET. In this research work, we have implemented the idea of high -k gate dielectric ondouble gate Tunnel FET, DG-TFETfor improvement of device features.An extensive investigation for the analog/RF and linearity feature of DG-TFET has been donehere for low power circuit and system development.Several essential analog/RF and linearity parameters like transconductance(gm), transconductance generation factor (gm/IDS) its high-order derivatives (gm2, gm3), cut-off frequency (fT), gain band width product (GBW), transconductance generation factor (gm/IDS) has been investigated for low power RF applications.The VIP2, VIP3, IMD3, IIP3, distortion characteristics (HD2, HD3), 1- dB the compression point, delay and power delay product performancehave also been throughly studied.It has been observed that the device features discussed for circuitry applications are found to be sensitiveto of gate materials, design configuration and input signals.

Tunnel FETisone of thealternativedevicefor low power electronics having steep subthreshold swing and lower leakage current than conventional MOSFET. In this research work, we have implemented the idea of high -k gate dielectric ondouble gate Tunnel FET, DG-TFETfor improvement of device features.An extensive investigation for the analog/RF and linearity feature of DG-TFET has been donehere for low power circuit and system development.Several essential analog/RF and linearity parameters like transconductance(gm), transconductance generation factor (gm/IDS) its high-order derivatives (gm2, gm3), cut-off frequency (fT), gain band width product (GBW), transconductance generation factor (gm/IDS) has been investigated for low power RF applications.The VIP2, VIP3, IMD3, IIP3, distortion characteristics (HD2, HD3), 1- dB the compression point, delay and power delay product performancehave also been throughly studied.It has been observed that the device features discussed for circuitry applications are found to be sensitiveto of gate materials, design configuration and input signals.

Tunnel FETisone of thealternativedevicefor low power electronics having steep subthreshold swing and lower leakage current than conventional MOSFET. In this research work, we have implemented the idea of high -k gate dielectric ondouble gate Tunnel FET, DG-TFETfor improvement of device features.An extensive investigation for the analog/RF and linearity feature of DG-TFET has been donehere for low power circuit and system development.Several essential analog/RF and linearity parameters like transconductance(gm), transconductance generation factor (gm/IDS) its high-order derivatives (gm2, gm3), cut-off frequency (fT), gain band width product (GBW), transconductance generation factor (gm/IDS) has been investigated for low power RF applications.The VIP2, VIP3, IMD3, IIP3, distortion characteristics (HD2, HD3), 1- dB the compression point, delay and power delay product performancehave also been throughly studied.It has been observed that the device features discussed for circuitry applications are found to be sensitiveto of gate materials, design configuration and input signals.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.

This paper focuses on the efficient control of a photovoltaic device's voltage. Under irradiation variation and constant load, a robust controller is proposed. The second-order sliding mode controller for buck converter based on super twisting algorithm is designed to ensure both the reliability and robustness of the global system. The proposed control strategy's reliability is demonstrated by experimental results using dSpace 1104.