Результаты поиска по 'control of market prices':
Найдено статей: 2
  1. Varshavsky L.E.
    Uncertainty factor in modeling dynamics of economic systems
    Computer Research and Modeling, 2018, v. 10, no. 2, pp. 261-276

    Analysis and practical aspects of implementing developed in the control theory robust control methods in studying economic systems is carried out. The main emphasis is placed on studying results obtained for dynamical systems with structured uncertainty. Practical aspects of implementing such results in control of economic systems on the basis of dynamical models with uncertain parameters and perturbations (stabilization of price on the oil market and inflation in macroeconomic systems) are discussed. With the help of specially constructed aggregate model of oil price dynamics studied the problem of finding control which provides minimal deviation of price from desired levels over middle range period. The second real problem considered in the article consists in determination of stabilizing control providing minimal deviation of inflation from desired levels (on the basis of constructed aggregate macroeconomic model of the USA over middle range period).

    Upper levels of parameters uncertainty and control laws guaranteeing stabilizability of the real considered economic systems have been found using the robust method of control with structured uncertainty. At the same time we have come to the conclusion that received estimates of parameters uncertainty upper levels are conservative. Monte-Carlo experiments carried out for the article made it possible to analyze dynamics of oil price and inflation under received limit levels of models parameters uncertainty and under implementing found robust control laws for the worst and the best scenarios. Results of these experiments show that received robust control laws may be successfully used under less stringent uncertainty constraints than it is guaranteed by sufficient conditions of stabilization.

    Keywords: economic systems, stabilization, robust methods, uncertain parameters, structured uncertainty.
    Views (last year): 39.
  2. Orlova E.V.
    Model for economic interests agreement in duopoly’s making price decisions
    Computer Research and Modeling, 2015, v. 7, no. 6, pp. 1309-1329

    The model of market pricing in duopoly describing the prices dynamics as a two-dimensional map is presented. It is shown that the fixed point of the map coincides with the local Nash-equilibrium price in duopoly game. There have been numerically identified a bifurcation of the fixed point, shown the scheme of transition from periodic to chaotic mode through a doubling period. To ensure the sustainability of local Nashequilibrium price the controlling chaos mechanism has been proposed. This mechanism allows to harmonize the economic interests of the firms and to form the balanced pricing policy.

    Keywords: two-dimensional map, stability of fixed point, bifurcation analysis, price competition, control of market prices, strategic interaction of firms, Nash-equilibrium.
    Views (last year): 10. Citations: 2 (RSCI).

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