A monitor is defined to be an estimator which minimizes the cost of taking measurements and which, simultaneously, meets constraints on accuracy. It is anticipated that the development of a monitor theory will facilitate environmental-technological system design. The authors propose that monitor synthesis can be divided into two subproblems. The “design problem” is to select the variables for measurement, to select the measurement devices, and to select the spatial distribution of the devices. The “management problem” is to select, on line, the type and sequencing of measurements. The note concludes with a simulated application of filter theory to the management of a water quality monitor. It is demonstrated that a suboptimal minimum cost monitor is, thereby, synthesized by the proper sequencing of costly measurements.
Skip Nav Destination
Article navigation
September 1974
Technical Briefs
Monitoring: An Environmental State Estimation Problem
J. W. Brewer,
J. W. Brewer
University of California, Davis, Calif.
Search for other works by this author on:
S. F. Moore
S. F. Moore
Massachusetts Institute of Technology, Cambridge, Mass.
Search for other works by this author on:
J. W. Brewer
University of California, Davis, Calif.
S. F. Moore
Massachusetts Institute of Technology, Cambridge, Mass.
J. Dyn. Sys., Meas., Control. Sep 1974, 96(3): 363-365 (3 pages)
Published Online: September 1, 1974
Article history
Received:
May 20, 1974
Online:
July 13, 2010
Citation
Brewer, J. W., and Moore, S. F. (September 1, 1974). "Monitoring: An Environmental State Estimation Problem." ASME. J. Dyn. Sys., Meas., Control. September 1974; 96(3): 363–365. https://doi.org/10.1115/1.3426817
Download citation file:
Get Email Alerts
Cited By
A Case Study Comparing Both Stochastic and Worst-Case Robust Control Co-Design Under Different Control Structures
J. Dyn. Sys., Meas., Control
Robust Fault Detection for Unmanned Aerial Vehicles Subject to Denial-of-Service Attacks
J. Dyn. Sys., Meas., Control (May 2025)
Learning Battery Model Parameter Dynamics From Data With Recursive Gaussian Process Regression
J. Dyn. Sys., Meas., Control (May 2025)
Nonsingular Fast Terminal Sliding Mode-Based Lateral Stability Control for Three-Axis Heavy Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Sliding Mode Controller and Filter Applied to an Electrohydraulic Actuator System
J. Dyn. Sys., Meas., Control (March,2011)
State Estimation With Finite Signal-to-Noise Models via Linear Matrix Inequalities
J. Dyn. Sys., Meas., Control (March,2007)
The Extended Variable Structure Filter
J. Dyn. Sys., Meas., Control (June,2006)
The Variable Structure Filter
J. Dyn. Sys., Meas., Control (September,2003)
Related Proceedings Papers
Related Chapters
Design and Simulation on State Observer for Crane-Load System
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Makeup Water Treatment Plant Start-Up
Consensus on Pre-Commissioning Stages for Cogeneration and Combined Cycle Power Plants
Effect of Hydrodynamic Induced Cavitation and Supercavitation on Water Pollutants
Proceedings of the 10th International Symposium on Cavitation (CAV2018)