Recently, one of the modern directions of the theory of control, the theory of
construction of state monitors of linear and nonlinear dynamic systems has significantly
developed [2, 4, 10, 15]. The approach based on the expansion of the system dynamics based on
the information of the input and output values due to the construction of a special dynamic
system observer whose state converges quickly enough to the initial state of the system over time
and the function of the state observer on the output, and the input of the initial system output
variables and dynamic feedback can be applied spread out. In this case, the state observer at an
arbitrary instant of time is considered as an estimate of the state of the system at a given instant
of time [4]. Constructing an observer for a dynamic system is one of the ways to obtain an estimate of the state vector of this dynamic system. Solving such a problem can be of
independent value as part of the general problem of dynamic systems control. The article
considers the independence of the output value and the error signal from the input actions. In
stabilization systems, it is necessary to add independence of the output value from the disturbing
influence. The system is invariant with respect to the perturbing influence, if after the completion
of the transient process determined by the initial conditions, the system error does not depend on
this influence [12-16].
Recently, one of the modern directions of the theory of control, the theory of
construction of state monitors of linear and nonlinear dynamic systems has significantly
developed [2, 4, 10, 15]. The approach based on the expansion of the system dynamics based on
the information of the input and output values due to the construction of a special dynamic
system observer whose state converges quickly enough to the initial state of the system over time
and the function of the state observer on the output, and the input of the initial system output
variables and dynamic feedback can be applied spread out. In this case, the state observer at an
arbitrary instant of time is considered as an estimate of the state of the system at a given instant
of time [4]. Constructing an observer for a dynamic system is one of the ways to obtain an estimate of the state vector of this dynamic system. Solving such a problem can be of
independent value as part of the general problem of dynamic systems control. The article
considers the independence of the output value and the error signal from the input actions. In
stabilization systems, it is necessary to add independence of the output value from the disturbing
influence. The system is invariant with respect to the perturbing influence, if after the completion
of the transient process determined by the initial conditions, the system error does not depend on
this influence [12-16].
| № | Author name | position | Name of organisation |
|---|---|---|---|
| 1 | Kholhodjaev B.. | teacher | TSTU |
| 2 | Kuralov B.. | teacher | TSTU |
| 3 | Daminov K.. | teacher | TSTU |
| № | Name of reference |
|---|---|
| 1 | N.D. Egupov., K.A. Pupkov. Methods of classical and modern theory of automatic control. Textbook in 5 volumes. “Publishing house of Moscow State Technical University”, 2004. |
| 2 | I.V. Miroshnik., V.O. Nikiforov., A.L. Fradkov. Nonlinear and adaptive control of complex dynamic systems. - St. Petersburg: “Science”, 2000. |
| 3 | A.G. Akhobadze., S.A. Krasnova. Solution of the tracking problem under uncertainty based on the joint block-canonical form of controllability and observability. “Large systems management”, 2009. 34. |
| 4 | A.G. Akhobadze., S.A. Krasnova. Tracking problem in linear multidimensional systems in the presence of external disturbances. “Automation and telemechanics”, 2009. 21. |
| 5 | S.V. Emelyanov., S.K. Korovin. New types of feedback. Moscow: “Nauka”, 1997. 352. |
| 6 | A.L. Fradkov. Adaptive control in complex systems. Moscow: “Nauka”, 1990. 296. |
| 7 | S.A. Krasnova S.A., Kuznetsov S.I. Sliding mode estimation of uncontrolled disturbances in nonlinear systems. “Automation and telemechanics”, 2005. 54. |
| 8 | S.A. Agvami., M.B. Kolomeitseva. Synthesis of an adaptive neuroregulator for controlling a nonlinear multi-connected object. “Bulletin of MPEI”, 2011. 209 |
| 9 | S.A. Krasnova., A.V. Utkin. Analysis and synthesis of minimum-phase nonlinear systems under the action of external uncoordinated perturbations. “Problems of Control”, 2014. 22. |
| 10 | B.A. Kholkhodzhaev. Algorithms for estimating autoregression coefficients under conditions of incomplete information / Collection of materials of the international scientific technical conference. “Modern materials, equipment and technologies in mechanical engineering”, Andijon, 2014. 138. |
| 11 | B.A. Kholkhodzhaev. Algorithm for estimating unknown input signals in dynamic control systems. Innovation solutions to engineering and technologist problems of modern production. “Proceedings of the International Scientific Conference”, 2019. 228. |
| 12 | V.D. Burov V.D. Thermal power plants. Textbook. - 3rd ed., stereotype. Moscow: “MEI Publishing House”, 2009. 466. |
| 13 | S.V. Shidlovsky. Automatic control. “Tunable structure”, Tomsk: Tomsk State University, 2006. 288. |
| 14 | B.A. Kholkhodzhaev. Algorithms for the synthesis of multifunctional state monitors for linear system. “Technical science and innovation”, Tashkent, 2020. 92. |
| 15 | B.A. Kholkhodzhaev. Algorithms to restore the input effects of dynamic systems in conditions of uncertainty. “Technical science and innovation”, Tashkent, 2020. 150. |
| 16 | B.A. Kholhodjaev. Construction of structural-mathematical model reservoirs. “International scientific and practical conference ecological problems of food security”, 2022. |