In this paper, the problem of restoring signals described by the integral Fredgholm equation of the first kind, is solved by means of multi-criteria optimization. It is allowed increasing simulation precision to model the process of restoring the information of a state of objects of the automated control systems. The theoretical and practical results of this paper have shown advantages of multi-criteria optimization in comparison with the Tikhonov’s method while solving ill-posed problems. The main features are: solution sensibility to the parameter of regularization, robustness to measurement errors, convergence of the calculations.
automated control systems, signal restoring problem, multi criteria optimization, regularization’s parameter
"Reshenye zadachy vosstanovlenyia parametrov obъektov ynformatsyonnoho obespechenyia avtomatyzyrovannыkh system upravlenyia" [Solution of the parameters of objects of information support restoring problem of automated control systems],
Information Processing Systems,