Zhirabok Aleksei Nilovich

Publications in Math-Net.Ru

1. A fault diagnosis method for discrete-event systems based on the fuzzy finite state automaton model
   
   Probl. Upr., 2025, no. 2,  38–49
2. Interval observers for estimating unknown inputs in discrete time-invariant dynamic systems
   
   Avtomat. i Telemekh., 2024, no. 8,  3–19
3. A fault tolerance method for control systems with full or partial fault decoupling
   
   Avtomat. i Telemekh., 2024, no. 7,  15–31
4. An interval observer-based method to diagnose discrete-time systems
   
   Avtomat. i Telemekh., 2023, no. 12,  133–145
5. Interval observers for continuous-time systems with parametric uncertainties
   
   Avtomat. i Telemekh., 2023, no. 11,  3–16
6. Fault identification: an approach based on optimal control methods
   
   Avtomat. i Telemekh., 2023, no. 9,  82–94
7. Interval observer design for discrete linear time-invariant systems with uncertainties
   
   Probl. Upr., 2023, no. 2,  19–27
8. Jordan canonical form in diagnosis and estimation problems
   
   Avtomat. i Telemekh., 2022, no. 9,  36–54
9. Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers
   
   Avtomat. i Telemekh., 2022, no. 2,  63–89
10. Decision making in nonlinear dynamical system diagnosis by a nonparametric method
    
    Avtomat. i Telemekh., 2021, no. 2,  111–131
11. Fault identification in mobile robot groups using sliding mode observers
    
    Proceedings of ISP RAS, 33:1 (2021),  137–150
12. Diagnosis of linear dynamic systems: an approach based on sliding mode observers
    
    Avtomat. i Telemekh., 2020, no. 2,  18–35
13. Nonparametric method for diagnosis of nonlinear dynamic systems
    
    Avtomat. i Telemekh., 2019, no. 2,  24–45
14. Design of nonlinear robust diagnostic observers
    
    Avtomat. i Telemekh., 2017, no. 9,  34–48
15. Diagnosis of linear dynamic systems by the nonparametric method
    
    Avtomat. i Telemekh., 2017, no. 7,  3–21
16. Accommodation to defects in the discrete dynamic systems
    
    Avtomat. i Telemekh., 2014, no. 6,  14–29
17. A method for constructing robust diagnostic observers
    
    Avtomat. i Telemekh., 2014, no. 2,  40–53
18. An optimization approach to nonlinear diagnostic filter synthesis
    
    Avtomat. i Telemekh., 2012, no. 8,  144–157
19. Diagnostic observers and parity relation: comparative analysis
    
    Avtomat. i Telemekh., 2012, no. 5,  141–160
20. Consideration of system uncontrollability for fault diagnosis problem solution
    
    Probl. Upr., 2011, no. 2,  2–8
21. Method of accommodation to the defects in finite automata
    
    Avtomat. i Telemekh., 2010, no. 5,  122–132
22. Achieving robustness at diagnosis of nonlinear systems
    
    Avtomat. i Telemekh., 2010, no. 1,  159–173
23. Method of fault-tolerant control for nonlinear dynamic systems: logic-dynamic approach
    
    Probl. Upr., 2010, no. 2,  11–18
24. Nonlinear parity relations: A logic-dynamic approach
    
    Avtomat. i Telemekh., 2008, no. 6,  160–174
25. Canonical forms of nonlinear dynamic systems
    
    Probl. Upr., 2008, no. 6,  11–17
26. Self-correction of errors in discrete dynamic systems
    
    Avtomat. i Telemekh., 2006, no. 6,  41–53
27. Nonlinear dynamic systems: Their canonical decomposition based on invariant functions
    
    Avtomat. i Telemekh., 2006, no. 4,  3–15
28. Logic-dynamical approach to bilinear systems diagnosis
    
    Probl. Upr., 2006, no. 4,  20–25
29. An analog of Hankel matrix for a nonlinear dynamic system
    
    Probl. Upr., 2006, no. 2,  42–46
30. On the duality of nonlinear dynamic systems
    
    Probl. Upr., 2005, no. 1,  13–17
31. Diagnosis of Nonlinear Dynamic Systems: Adaptive Parity Relations
    
    Avtomat. i Telemekh., 2002, no. 11,  138–150
32. Linear diagnosis methods for nonlinear systems
    
    Avtomat. i Telemekh., 2000, no. 7,  149–159
33. A structural approach to the solution of a problem of functional diagnosis of nonlinear discrete systems
    
    Avtomat. i Telemekh., 2000, no. 3,  173–182
34. Functional diagnosis by parity relations
    
    Avtomat. i Telemekh., 1998, no. 2,  133–142
35. Defects Search in Nonlinear Systems by the Method of Functional Diagnostics on the Basis of Generalized Algebraic Invariants
    
    Avtomat. i Telemekh., 1994, no. 7,  160–169
36. Functional diagnosing of nonstationary dynamic systems
    
    Avtomat. i Telemekh., 1989, no. 11,  146–154
37. Functional diagnosis of continuous dynamic systems described by equations whose right-hand side is polynomial
    
    Avtomat. i Telemekh., 1987, no. 8,  154–164
38. Toward a theory of functional testing in discrete dynamic systems
    
    Avtomat. i Telemekh., 1986, no. 12,  86–94
39. Functional diagnosis of linear automata with limited information on the state vector
    
    Avtomat. i Telemekh., 1981, no. 5,  161–168
40. Functional diagnosing of faults in operation of a finite automaton
    
    Avtomat. i Telemekh., 1980, no. 11,  134–142
41. Hardware control of asynchronous automata by decompositions which have a substitution property
    
    Avtomat. i Telemekh., 1979, no. 7,  130–136
42. Identifying tests for dead beat automata
    
    Avtomat. i Telemekh., 1978, no. 9,  136–141
43. Structural abstract method for design of checking tests for automata
    
    Avtomat. i Telemekh., 1978, no. 7,  137–145