SIMULATION MODELING AND SELECTION OF OPTIMALITY CRITERION IN AUTOMATED CONTROL SYSTEMS

The theory of optimal systems is considered as a fundamental direction of technical cybernetics, providing scientifically sound approaches to the selection of the best control strategies for complex dynamic objects. The choice of the control target function and the formation of optimality criteria allow us to quantitatively assess the quality of system functioning. The basic provisions of the theory of optimality and mathematical principles of the choice of optimality criteria justify the achievement of extreme values of target functions and functionals. Analytical methods of optimal control selection based on variational principles and functional analysis in the formation of optimality criterion, selection of input and output parameters of the system, control actions, perturbing factors, process dynamics are investigated. The use of simulation modeling technologies allowed us to propose adaptive control algorithms that provide stability and efficiency of the system in a dynamically changing environment. In the article modern digital technologies and methods of optimal control are used for modeling of adaptive control of system parameters in real time. The considered approaches to the formation and application of optimality criteria allow not only to increase the productivity and resource efficiency of automated systems, but also to create scientifically sound principles for the construction of intelligent control complexes that provide high reliability and flexibility of technological processes.