Title :
Nonlinear programming formulation for constrained feedback control system design
Author_Institution :
Boeing Scientific Research Laboratories, Seattle, Washington
Abstract :
In the design of feedback control systems, modern techniques are often neglected in favor of the more classical trial and error techniques due to the difficulty of incorporating practical engineering constraints. This paper attempts to present algorithms that may overcome some of these difficulties. Efficient computational techniques from linear algebra are stressed as a means of making nonlinear programming and parameter optimization algorithms practical.
Keywords :
Control systems; Control theory; Eigenvalues and eigenfunctions; Feedback control; Kalman filters; Mathematical model; Packaging; Performance analysis; Regulators; Stress control;
Conference_Titel :
Decision and Control, 1971 IEEE Conference on
Conference_Location :
Miami Beach, FL, USA
DOI :
10.1109/CDC.1971.270978