Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications Advances in Nonlinear Dynamics and Robotics (ANDC) Series
Coordonnateurs : Volos Christos, Pham Viet-Thanh
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling.
As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields.
Part I: Mem-elements and their emulators
1. The fourth circuit element was found: a brief history 2. Implementing memristor emulators in hardware 3. On the FPGA implementation of chaotic oscillators based on memristive circuits 4. Microwave memristive components for smart RF front-end modules 5. The modeling of memcapacitor oscillator motion with ANN and its nonlinear control application 6. Rich dynamics of memristor based Liénard systems 7. Hidden extreme multistability generated from a novel memristive two-scroll chaotic system 8. Extreme multistability, hidden chaotic attractors and amplitude controls in an absolute memristor Van der Pol–Duffing circuit: dynamical analysis and electronic implementation 9. Memristor-based novel 4D chaotic system without equilibria 10. Memristor Helmholtz oscillator: analysis, electronic implementation, synchronization and chaos control using single controller 11. Design guidelines for physical implementation of fractional-order integrators and its application in memristive systems 12. Control of bursting oscillations in memristor based Wien-bridge oscillator
Part II: Applications of mem-elements
13. Memristor, mem-systems and neuromorphic applications: a review 14. Guidelines for benchmarking non-ideal analog memristive crossbars for neural networks 15. Bipolar resistive switching in biomaterials: case studies of DNA and melanin-based bio-memristive devices 16. Nonvolatile memristive logic: a road to in-memory computing 17. Implementation of organic RRAM with ink-jet printer: from design to using in RFID-based application 18. Neuromorphic vision networks for face recognition 19. Synaptic devices based on HfO2 memristors 20. Analog circuit integration of backpropagation learning in memristive HTM architecture 21. Multi-stable patterns coexisting in memristor synapse-coupled Hopfield neural network 22. Fuzzy memristive networks 23. Fuzzy integral sliding mode technique for synchronization of memristive neural networks 24. Robust adaptive control of fractional-order memristive neural networks 25. Learning memristive spiking neurons and beyond
Viet-Thanh Pham is the Director of Research at Faculty of Electrical and Electronic Engineering, Phenikaa Institute for Advanced Study (PIAS), Phenikaa University, Vietnam. He received the degree in electronics and telecommunications from the Hanoi University of Technology, Vietnam, in 2005, and the Ph.D. degree in electronics, automation and control of complex systems engineering from the University of Catania, Italy, in 2013. He was a postdoctoral researcher at the Division of Dynamics, Lodz University of Technology, Poland.
- Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence
- Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor)
- Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence
Date de parution : 06-2021
Ouvrage de 568 p.
15x22.8 cm
Thèmes de Mem-elements for Neuromorphic Circuits with Artificial... :
Mots-clés :
active states; amplitude control; analog circuits; analog neural circuits; Boolean logic; bursting oscillations; Chaos; chaotic system; Circuit theory; crossbar; Diode bridge memristor; Dual-band bandpass filter; dual-mode resonator; FPGA implementation; fractional calculus; in-memory computing; interdigital filter; Leakage power; Liénard system; memory effect; memristive chaotic system; Memristive neural networks; memristive systems; memristor; memristor crossbar; neural network; neuromorphic computing; nonlinear element; numerical simulation; phase shifter; pinched hysteresis loop; planar technology; projective synchronization; quiescent state; reconfigurable filter; RF memristive switch; robust adaptive control; synchronization; template matching; testing; threshold logic; training; uncertain system; Wien-bridge oscillator