Towards Analog Memristive Controllers
Gourav Saha, Ramkrishna Pasumarthy, Prathamesh Khatavkar

TL;DR
This paper develops a novel analog memristive gain control framework and theoretical foundation, enabling potential applications in robust and adaptive control of miniaturized devices with parameter uncertainties.
Contribution
It introduces the first control strategy based on memristors, expanding their application scope to control systems.
Findings
Proposed a memristive analog gain control framework.
Established theoretical foundations for memristive control strategies.
Potential applications in robust, adaptive control of miniaturized systems.
Abstract
Memristors, initially introduced in the 1970s, have received increased attention upon successful synthesis in 2008. Considerable work has been done on modeling and applications in specific areas, however, very little is known on the potential of memristors for control applications. Being nanoscopic variable resistors, it is intuitive to think of using them as a variable gain. The main contribution of this paper is the development of a memristive analog gain control framework and theoretic foundation of a 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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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · CCD and CMOS Imaging Sensors
