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