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Real-time error detection in nonlinear control systems using machine learning assisted state-space encoding
S Banerjee, B Samynathan… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Successful deployment of autonomous systems in a wide range of societal applications
depends on error-free operation of the underlying signal processing and control functions …
depends on error-free operation of the underlying signal processing and control functions …
Efficient cross-layer concurrent error detection in nonlinear control systems using mapped predictive check states
S Banerjee, A Chatterjee… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The rapid proliferation of sensor networks and robots in a wide range of societal applications
has focused renewed attention on error-free operation of their underlying signal processing …
has focused renewed attention on error-free operation of their underlying signal processing …
A study on self-timed asynchronous subthreshold logic
This paper investigates self-timed asynchronous design techniques for subthreshold digital
circuits. In this voltage range extremely high voltage-dependent delay uncertainties arise …
circuits. In this voltage range extremely high voltage-dependent delay uncertainties arise …
Alera: Accelerated reinforcement learning driven adaptation to electro-mechanical degradation in nonlinear control systems using encoded state space error …
S Banerjee, A Chatterjee - ACM Transactions on Intelligent Systems and …, 2019 - dl.acm.org
The successful deployment of autonomous real-time systems is contingent on their ability to
recover from performance degradation of sensors, actuators, and other electro-mechanical …
recover from performance degradation of sensors, actuators, and other electro-mechanical …
Cross-layer control adaptation for autonomous system resilience
The last decade has seen tremendous advances in the transformation of ubiquitous control,
computing and communication platforms that are anytime, anywhere. These platforms allow …
computing and communication platforms that are anytime, anywhere. These platforms allow …
Real-time transient error and induced noise cancellation in linear analog filters using learning-assisted adaptive analog checksums
Analog circuits are sensitive to signal aggressions and power supply noise, crosstalk
coupling and alpha particle strikes can cause significant degradation of circuit's SNR. This …
coupling and alpha particle strikes can cause significant degradation of circuit's SNR. This …
Design of low cost fault tolerant analog circuits using real-time learned error compensation
Analog checksum based fault tolerance for linear circuits has been proposed in the past but
remains a theoretical artifact due to the high cost and complexity of error compensation …
remains a theoretical artifact due to the high cost and complexity of error compensation …
Error resilient real-time state variable systems for signal processing and control
The advent of sensor networks, robots, autonomous vehicles and the smart grid have made
the dependability of circuits and systems that control them critical to society and national …
the dependability of circuits and systems that control them critical to society and national …
Design of efficient error resilience in signal processing and control systems: From algorithms to circuits
The proliferation of cyber physical systems in society, from the smart grid to sensor networks
and robots has raised the importance of error resilience in signal processing and control …
and robots has raised the importance of error resilience in signal processing and control …
Real-time correction of dc servo motor and controller failures using analog checksums
S Banerjee, A Chatterjee… - 19th Annual International …, 2014 - ieeexplore.ieee.org
Recently optimal controller design for real-time systems has been a prominent research
focus for their application in intelligent autonomous systems. However, in the future it will be …
focus for their application in intelligent autonomous systems. However, in the future it will be …