Title :
Improvability of feedback systems
Author :
Eun, Yongsoon ; Kabamba, Pierre T. ; Meerkov, Semyon M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Introduces the notion of improvability and bottlenecks of feedback systems in the context of instrumentation cost. Specifically, a feedback system is improvable if its performance can be enhanced by reallocating sensor and actuator costs under budget constraints. We derive a criterion which determines when the system is improvable, using the LQG performance index. In addition, we introduce and analyze the notion of instrumentation bottleneck and provide a criterion for bottleneck identification. An important feature of the results derived is that both improvability and bottleneck indicators can be evaluated using online measurements in the feedback loop, without requiring precise knowledge of the plant data. Examples illustrating results are provided
Keywords :
actuators; feedback; linear quadratic Gaussian control; matrix algebra; performance index; sensors; LQG performance index; bottlenecks; budget constraints; feedback systems; improvability; instrumentation cost; Actuators; Control systems; Costs; Equations; Instruments; Linear feedback control systems; Noise measurement; Performance analysis; Sensor systems; System performance;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2001.914679