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Pavel Gushchin

Publications and source records attributed to Pavel Gushchin.

2 recordsLinked to original sources

Control of dynamic systems with restrictions on input and output signals

The paper considers the generalization of the method proposed by I.B. Furtat, P.A. Gushchin in "Automation and Remote Control", 2021, No. 4 for systems with an arbitrary ratio of the number of input and output signals and with a guarantee of their being in a given set. To solve the problem, two coordinate changes are proposed. The first coordinate change reduces the output variable of the system to a new variable which dimension does not exceed the control dimension. The second coordinate change allows one to pass from a constrained control problem to an unconstrained one. In order to illustrate the efficiency of the method, the solution of two problems is considered. The first task is state feedback control of linear systems, taking into account the constraints on the control signal and phase variables. The second task is output feedback control of linear systems with a restriction on output and control. In both problems, checking the stability of the closed-loop system is formulated in terms of the solvability of linear matrix inequalities. The obtained results are accompanied by examples of modeling that illustrate the efficiency of the proposed method.

math.OC↗

Sampled-data in Space Control of Scalar Semilinear Parabolic and Hyperbolic Systems

The paper describes a novel method of sampled-data in space (spatial variable) control of scalar semilinear systems of parabolic and hyperbolic type with unknown parameters and distributed disturbances. A finite set of sampled-data in the spatial variable measurements is available. The control law depends on the function which depends on the spatial variable and on a finite set of state measurements. A special choice of this function can affect on some properties of the closed-loop system. In particular, the paper describes the examples of this function that provides reduced control costs in comparison with some other control methods. The exponential stability of the closed-loop system and robustness with respect to unknown parameters and disturbances is proposed in terms of linear matrix inequalities (LMIs). The simulations confirm theoretical results and show the efficiency of the proposed control law compared with some existing ones.

eess.SY↗