sensorswithout
Sensorwithout is a term used in sensing, robotics, and control theory to describe approaches that infer state information without relying on dedicated physical sensors. In this usage, sensor information is obtained through sensorless estimation, indirect measurements, system models, and data-driven methods that reconstruct variables such as position, velocity, temperature, or environmental properties.
Techniques under the sensorwithout umbrella include observers (for example, Kalman or Luenberger observers), back-calculation from measurable
Sensorwithout is not a standardized term; it appears in a variety of academic papers and industry discussions
Advantages include reduced hardware cost, lower maintenance, and improved robustness in harsh environments. Limitations center on
See also: sensor fusion, state estimation, Kalman filter, observer design, model predictive control.