Contributions to the design and application of integrated multi-sensor and actuator electronics with self-x properties for robust integrated intelligent systems

Abstract The swift progress in smart sensor technologies, Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems has led to evolving the sensor standards to enable Industry 4.0, the industrial domain where adaptability, efficiency, and reliability are es- sential. The sensor applications of the new industry era necessitate increasingly adaptable sensor electronics and signal processing capabilities based on machine learning (ML) and artificial intelligence (AI) with other cutting-edge technologies. This thesis presents a literature review of the design and applications of evolvable hardware and reconfigurable/programmable electronics that can be tailored for smart sensory electronics (SSEs) in Industry 4.0. Through an interdisciplinary approach that weaves together elements from bio-inspired systems, evolvable hardware, and advanced signal processing techniques, this work introduces a suite of design methodologies and implementations for analog front-end (AFEX) systems endowed with self-X capabilities, namely self-optimization, self-configuration, and self-calibration.