Energy and power based perspective of memristive controllers

Pasumarthy, Ramkrishna; Saha, Gourav; Kazi, Faruk; Singh, Navdeep

doi:10.1109/cdc.2013.6759954

Cited by 4 publications

(11 citation statements)

References 14 publications

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“…The authors in [23] presented the use of the memristor as a new element for designing passivity-based controllers, and have found some possible benefits (e.g., ensuring better transient response) against the external disturbances. In [24], the authors observed similar numerical results. The memristor has also been used as an analog gain control element for robust-adaptive control of miniaturized systems [25].…”

Section: Introductionmentioning

confidence: 53%

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Memristor‐based disturbance rejection control for port‐Hamiltonian systems with locally fixed‐time convergence

Liu

Zhao

2022

IET Control Theory & Appl

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The memristor is added to the port‐Hamiltonian systems to improve the disturbance suppression performance in this paper. The concepts of locally fixed‐time stability and locally fixed‐time H∞$H_{\infty }$ control of port‐Hamiltonian systems are presented. From this starting point, two novel memristor‐based locally fixed‐time controllers are designed to suppress the external disturbance of port‐Hamiltonian systems via the interconnection and damping assignment passivity‐based control technique. Comparing with the classical interconnection and damping assignment passivity‐based control methodology without memristor, there are some advantages. First, the settling‐time related to the memristor‐based controllers in stabilizing the same port‐Hamiltonian systems are shorter. Second, the memristor‐based controllers can make the oscillation in the case of the strong periodic disturbance be better suppressed. Theoretical analysis shows that the memristor‐based controller possesses good disturbance rejection performance owing to it can make the system states in a neighbourhood accelerate convergence to the desired equilibrium point. Two illustrative examples show that the theoretical results and the controllers designed in this paper work very well.

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Section: Introductionmentioning

confidence: 53%

“…The memristor-based control can be a promising method againsts disturbances and preserves the PH structure of systems. However, in the references [23][24][25], theoretical analysis is not sufficient to provide a reasonable interpretation that why the memristor-based controller can work disturbance rejection.…”

Section: Introductionmentioning

confidence: 99%

Memristor‐based disturbance rejection control for port‐Hamiltonian systems with locally fixed‐time convergence

Liu

Zhao

2022

IET Control Theory & Appl

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“…Let E = E s and t = t s at the end of scan mode. Maximum expansion in E is obtained by integrating inequality (19)…”

Section: ) Rgs Usesė As Stability Indicatorė Is Found Bymentioning

confidence: 99%

“…The Hysteresis Block is a conventional inverting schmitt trigger. Tuning R 19 that the schmitt trigger's output goes from V DD to −V DD at Ė E = −γα and from −V DD to V DD at Ė E = −α. Due to the transistor arrangement in Hysteresis Block: 1) V C = 0 when V sh = V DD .…”

Section: Examplementioning

confidence: 99%

“…sustained oscillations) in a closed loop system consisting of memristive controller and linear plant. Another line of work may include [18], [19] which uses memristor as a passive element to inject variable damping thus ensuring better transient response. In this paper we lay the groundwork to use memristor as an analog gain control (AGC) element for robust-adaptive control of miniaturized systems.…”

Section: Introductionmentioning

confidence: 99%

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Towards Analog Memristive Controllers

Saha

Pasumarthy

Khatavkar

2015

IEEE Trans. Circuits Syst. I

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Abstract-Memristors, initially introduced in the 1970s, have received increased attention upon successful synthesis in 2008. Considerable work has been done on its modeling and applications in specific areas, however, very little is known on the potential of memristors for control applications. Being nanoscopic variable resistors, one can consider its use in making variable gain amplifiers which in turn can implement gain scheduled control algorithms. The main contribution of this paper is the development of a generic memristive analog gain control framework and theoretic foundation of a gain scheduled robustadaptive control strategy which can be implemented using this framework. Analog memristive controllers may find applications in control of large array of miniaturized devices where robust and adaptive control is needed due to parameter uncertainty and ageing issues.

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Locally Fixed-Time Stabilization and $H_{\infty}$ Control for Memristive Port-Controlled Hamiltonian Systems

Liu

Liao

2021

2021 International Conference on Control, Automation and Information Sciences (ICCAIS)

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Energy and power based perspective of memristive controllers

Cited by 4 publications

References 14 publications

Memristor‐based disturbance rejection control for port‐Hamiltonian systems with locally fixed‐time convergence

Memristor‐based disturbance rejection control for port‐Hamiltonian systems with locally fixed‐time convergence

Towards Analog Memristive Controllers

Locally Fixed-Time Stabilization and $H_{\infty}$ Control for Memristive Port-Controlled Hamiltonian Systems

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