Abstract
In this paper, a theoretical investigation of improving the performance of automatic control systems with random inputs by using nonlinear characteristics is described. If the statistical characteristics of random inputs are known, an optimum nonlinear characteristic can be introduced in order to minimize the mean squared value of the error signal in the system. Proceeding from the analytical procedure derived previously by the authors, a method of obtaining the optimum nonlinear characteristics is shown in detail. It has been applied to the interesting practical cases of automatic control systems for the random inputs with a typical auto-correlation function. That is, the optimum nonlinear characteristic has been obtained for the following two cases : (1) the case of a control system with a Gaussian random disturbance ; (2) the case of a control system with a Gaussian random signal contaminated by random noise. The procedure is also summarized in the final section.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Japan Society of Mechanical Engineers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
