Sustainable Algorithms for the Synthesis of a Suboptimal Dynamic Object Management System
The article deals with the construction of sustainable algorithms for calculating the coefficients of the adaptive controller, identifying the parameters of the object and diagnosing its state within the objectives of synthesizing a system of suboptimal control of dynamic objects. When finding the coefficients of the regulator, a pseudo-inversion algorithm is used using skeletal decomposition of matrices. Identification algorithms are based on local optimization in accordance with the principle of separation. The solution of the problem of diagnosis is based on the analysis of the updating sequence of the Kalman filter.
KeywordsDynamic object Suboptimal control Identification Diagnosis Robust synthesis algorithms
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