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1

Controlling a non-homogeneous Timoshenko beam with the aid of the torque

Sklyar G. M., Szkibiel G.

International Journal of Applied Mathematics and Computer Science

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2013

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Vol. 23, no. 3

587--598

EN

Considered is the control and stabilizability of a slowly rotating non-homogeneous Timoshenko beam with the aid of a torque. It turns out that the beam is (approximately) controllable with the aid of the torque if and only if it is (approximately) controllable. However, the controllability problem appears to be a side-effect while studying the stabilizability. To build a stabilizing control one needs to go through the methods of correcting the operators with functionals so that they have finally the appropriate form and the results on C0-continuous semigroups may be applied.

2

Existence and stabilizability of steady-state for semilinear pulse-width sampler controlled system

Wang J.

Opuscula Mathematica

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2011

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Vol. 31, no. 1

105-118

EN

In this paper, we study the steady-state of a semilinear pulse-width sampler controlled system on infinite dimensional spaces. Firstly, by virtue of Schauder's fixed point theorem, the existence of periodic solutions is given. Secondly, utilizing a generalized Gronwall inequality given by us and the Banach fixed point theorem, the existence and stabilizability of a steady-state for the semilinear control system with pulse-width sampler is also obtained. At last, an example is given for demonstration.

3

On stabilizability-holdability problem for linear discrete time systems

Rumchev V., G., Higashiyama Y.

Systems Science

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2010

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Vol. 36, no 2

33-38

EN

Consider the following problem. Given a linear discrete-time system, find if possible a linear state-feedback control law such that under this law all system trajectories originating in the non-negative orthant remain non-negative while asymptotically converging to the origin. This problem is called feedback stabilizability-holdabiltiy problem (FSH). If, in addition, the requirement of non-negativity is imposed on the controls, the problem is a positive feedback stabilizability-holdabiltiy problem (PFSH). It is shown that the set of all linear state feedback controllers that make the open-loop system holdable and asymptotically stable is a polyhedron and the external representation of this polyhedron is obtained. Necessary and sufficient conditions for identifying when the open-loop system is not positive feedback R+n-invariant (and therefore there is no solution to the PFSH problem) are obtained in terms of the system parameters. A constructive linear programming based approach to the solution of FSH and PFSH problems is developed in the paper. This approach provides not only a simple computational procedure to find out whether the FSF, respectively the PFSH problem, has a solution or not but also to determine a linear state feedback controller (respectively, a non-negative linear state feedback controller) that endows the closed-loop (positive) system with a maximum stability margin and guarantees the fastest possible convergence to the origin.

4

Holdability and stabilizability of 2D Roesser model

Kaczorek T.

Control and Cybernetics

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2003

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Vol. 32, no 1

75-86

EN

The holdability and stabilizability problem of 2D Roesser model is formulated and solved. Conditions for the existence of solution to the problem are established. Two procedures for computation of a gain matrix of the state-feedback are proposed and illustrated by a numerical example.

PL

Sformułowano i rozwiązano zadanie utrzymywania i stabilizowalności dla dwuwymiarowego modelu Roessera. Ustalono warunki istnienia rozwiązania tego zadania. Zaproponowano dwie procedury wyliczania macierzy przejścia w pętli sprzężenia zwrotnego względem stanu i zilustrowano je przykładem numerycznym.

5

Discrete-time Markovian jump linear systems

Szajowski K., Koning W.

Control and Cybernetics

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1998

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Vol. 27, no 1

63-80

EN

The paper considers a problem of optimal control of a linear system with the parameters dependent on the states of a Markov chain. The cost criterion is quadratic in the controls and states of the system. The criterion parameters also depend on the states of the Markov chain. Two models of observation of the Markov chain are adopted - delay for one step and no delay. It is shown that under appopriate mean square detectability and stabilizability conditions the infinite horizon optimal control problem for the general case of Markovian jump linear quadratic systems has a unigue mean square stabilizing solution. Necessary and sufficient conditions are given to determine if a system is mean square stabilizable.