Adaptive Observers for Linear Time-Varying Dynamic Objects with Uncertainty Estimation | Zendy

Nikolay Karabutov | Zendy

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Adaptive Observers for Linear Time-Varying Dynamic Objects with Uncertainty Estimation

Author(s) -

Nikolay Karabutov

Publication year - 2017

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2017.06.01

Subject(s) - computer science , observer (physics) , multiplicative function , constant (computer programming) , matrix (chemical analysis) , control theory (sociology) , mathematical optimization , exponential function , object (grammar) , algorithm , mathematics , artificial intelligence , control (management) , mathematical analysis , physics , materials science , quantum mechanics , composite material , programming language

The method of construction adaptive observers (AO) time-varying linear dynamic objects at non-fulfillment of a condition an excitation constancy (EC) is proposed. Synthesis of the adaptive observer is given as the solution of two tasks. The solution first a problem is a choice of the constant matrix decreasing the effect of EC condition. The solution of the second problem gives a method of synthesis adaptive multiplicative algorithms in the presence of the obtained restrictions. Procedures of an estimation uncertainty in an object are proposed.

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