Open AccessThe problem of sustainability of the controlled innovation process
Author(s) -
А. V. Voronin
Publication year - 2020
Publication title -
vìsnik harkìvsʹkogo nacìonalʹnogo unìversitetu ìmenì v.n. karazìna. serìâ mìžnarodnì vìdnosini, ekonomìka, kraïnoznavstvo, turizm
Language(s) - English
Resource type - Journals
ISSN - 2310-9513
DOI - 10.26565/2310-9513-2020-11-05
Subject(s) - nonlinear system , stability (learning theory) , process (computing) , sustainability , computer science , control theory (sociology) , boundary (topology) , economics , control (management) , mathematics , physics , ecology , mathematical analysis , quantum mechanics , machine learning , artificial intelligence , biology , operating system
The present study is devoted to the problem of managing innovative processes at the level of state executive structures. The aim of the work is to build a mathematical model of a regulated innovation process and study of the structural stability of the equilibrium positions of the corresponding nonlinear dynamic system. An important role in the methodology of technical forecasting is played by the so-called logistics model, which has purely non-linear properties - saturation and cumulativeness. It is known that simultaneously with the acceleration of economic development, the influence of opposing factors is increasing, which either stabilize the growth of innovative products, or the process takes on a cyclical character. This, in turn, actualizes a set of measures to regulate the innovative activities of innovators. The need for changing the capacity of the innovation market occurs. This can be achieved by introducing feedback management on a technologically significant indicator of innovation in the traditional logistic model of diffusion of innovation. It is important to note that the presence of a built-in linear inertial controller in a nonlinear system does not automatically guarantee the stability of the achieved equilibrium positions. For this, the mathematical stability conditions on the plane of the parameters of the dynamical system are obtained. In particular, an unstable mode of self-oscillations was revealed in the vicinity of the desired equilibrium position. Such a regime is considered a dangerous boundary for loss of stability, and it is necessary to realize adjustment of the regulator’s parameters in order to avoid undesirable bifurcations and catastrophes. This makes it relevant to detect and identify negative trends in innovation dynamics. The approach proposed in this paper will make it possible to better diagnose the problems of the state of the systems under study, as well as to search for effective ways out of them in order to synthesize anti-crisis innovative development programs.