Data-driven designs of fault detection systems via neural network-aided learning

H Chen, Z Chai, O Dogru, B Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the aid of neural networks, this article develops two data-driven designs of fault
detection (FD) for dynamic systems. The first neural network is constructed for generating …

Demystifying automotive safety and security for semiconductor developer

V Prasanth, D Foley, S Ravi - 2017 IEEE International Test …, 2017 - ieeexplore.ieee.org
Advances in both semiconductor and automotive industry are today enabling the next
generation of vehicles with significant electronics content than ever before. Consumers can …

Hierarchical check based detection and diagnosis of sensor-actuator malfunction in autonomous systems: A quadcopter study

MI Momtaz, A Chatterjee - … Symposium on On-Line Testing and …, 2019 - ieeexplore.ieee.org
Future pervasive autonomous systems such as un-manned land and air vehicles will need
to be extremely resilient to failures in sensors, actuators and on-board electronics for the …

Hierarchical state space checks for errors in sensors, actuators and control of nonlinear systems: Diagnosis and compensation

MI Momtaz, A Chatterjee - 2019 IEEE 28th Asian Test …, 2019 - ieeexplore.ieee.org
The rapid rise of self-driving cars and drones has raised questions about the safety of
autonomous robotics deployed in society. Prior work on robust and adaptive control make …

Exploiting Application Tolerance for Functional Safety

V Prasanth, R Parekhji… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
As the use of safety critical systems is becoming more prevalent, there is a need to reduce
the implementation overhead required to provide safety. The conventional design of such …

Cross-layer control adaptation for autonomous system resilience

MI Momtaz, S Banerjee, S Pandey… - 2018 IEEE 24th …, 2018 - ieeexplore.ieee.org
The last decade has seen tremendous advances in the transformation of ubiquitous control,
computing and communication platforms that are anytime, anywhere. These platforms allow …

Real-time self-learning for control law adaptation in nonlinear systems using encoded check states

S Banerjee, A Chatterjee - 2017 22nd IEEE European Test …, 2017 - ieeexplore.ieee.org
With the wide proliferation of autonomous sense-and-control real-time systems (such as
robots and self-driven cars), a key research objective is rapid recovery from the effects of …

Concurrent error detection in embedded digital control of nonlinear autonomous systems using adaptive state space checks

MI Momtaz, CN Amarnath… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The advent of pervasive autonomous systems such as self-driving cars and drones has
raised questions about their safety and trustworthiness. This is particularly relevant in the …

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 …

Safety analysis for integrated circuits in the context of hybrid systems

V Prasanth, R Parekhji… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Many real-life systems have integrated circuits interacting with physical systems in safety
critical applications. These systems are called hybrid systems. The safety analysis of …