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Information × Registration Number 0201U003574, 0197U012130 , R & D reports Title Theoretical foundations and mathematical support of adaptive control systems for stochastic nonstationary plants in presence of apriori uncertainty and constraints based on parametrically optimized regulators development popup.stage_title Head Bodyans'kyj Ye.V., Registration Date 27-03-2001 Organization Kharkov state technical university of radioelectronics popup.description2 Object of investigation: dynamic, stochastic, possibly non-stationary controlled system with unknown parameters. Goal of the work: development of new principles of digital control for multivariable, dynamic non-stationary stochastic systems under conditions of uncertainty, based on the adaptive parametrically tuned neuro-fuzzy controllers designed for the real-time optimization of the operation mode in prenense of constraints on phase variables and error. New control laws have been syntesized that are invariant to the structure of the system and can operate effectively under conditions of essential a priori uncertainty. The results of the work can be employed in various branches of industry, e.g. in mission-critical applications (technological processes and economical, energetic, ecological and organizational systems of different types). Product Description popup.authors popup.nrat_date 2020-04-02 Close