In this paper linear difference equations with several independent variables are considered, whose solutions are functions defined on sets of $n$-dimensional vectors with integer coordinates. These equations could be called partial difference equations. Existence and uniqueness theorems for these equations are formulated and proved, and interconnections of such results with the theory of linear multidimensional digital systems are investigated. Numerous examples show essential differences of the results...

Linear time-invariant networks are modelled by linear differential-algebraic equations with constant coefficients. These equations can be represented by a matrix pencil. Many publications on this subject are restricted to regular matrix pencils. In particular, the influence of the Weierstrass structure of a regular pencil on the poles of its inverse is well known. In this paper we investigate singular matrix pencils. The relations between the Kronecker structure of a singular matrix pencil and the...

This paper focuses on the Popov generalized theory for a class of some linear systems including discrete and distributed delays. Sufficient conditions for stabilizing such systems as well as for coerciveness of an appropriate quadratic cost are developed. The obtained results are applied for the design of a memoryless state feedback control law which guarantees the (exponential) closed-loop stability with an ${ℒ}_2$ norm bound constraint on disturbance attenuation. Note that the proposed results extend...

Let $\left(A,B\right)$ be a linear time dependent control process, defined on an open interval $J=]a,\omega [$ with $a\ge -\mathrm{\infty }$ and $\omega \le \mathrm{\infty }$; in this paper we give a description of the function $\tau :I\to J$, $\tau \left(t\right)=inf\mathit{\{}t{}^{\prime }>t:(A,B)$ is $\left[t,t^{\prime }\right]$-globally controllable from $0\mathit{\}}$ where $I=\mathit{\{}t\in J:\mathrm{\exists }t{}^{\prime }\in J$ with $\left(A,B\right)\left[t,t^{\prime }\right]$-globally controllable from $0\mathit{\}}$.

A hybrid flexible beam equation with harmonic disturbance at the end where a rigid tip body is attached is considered. A simple motor torque feedback control is designed for which only the measured time-dependent angle of rotation and its velocity are utilized. It is shown that this control can impel the amplitude of the attached rigid tip body tending to zero as time goes to infinity.

A hybrid flexible beam equation with harmonic disturbance at the end where a rigid tip body is attached is considered. A simple motor torque feedback control is designed for which only the measured time-dependent angle of rotation and its velocity are utilized. It is shown that this control can impel the amplitude of the attached rigid tip body tending to zero as time goes to infinity.

The impact of additive outliers on a performance of the Kalman filter is discussed and less outlier-sensitive modification of the Kalman filter is proposed. The improved filter is then used to obtain an improved smoothing algorithm and an improved state-space model parameters estimation.

The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over an infinite time horizon. It is assumed that the switching between a fault-free and finitely many faulty conditions can be modelled by a finite-state Markov chain and the continuous dynamics of the observed system can be described for the fault-free and each faulty condition by non-linear non-Gaussian models with a fully observed continuous state. The design of an optimal active fault detector that...

Let $\mathrm{\Sigma }$ be a constrained mechanical system locally referred to state coordinates $(q^1,\mathrm{\dots },q^N,{\gamma }^1,\mathrm{\dots },{\gamma }^M)$. Let $({\tilde{\gamma }}^1\mathrm{\dots }{\tilde{\gamma }}^M)(\cdot )$ be an assigned trajectory for the coordinates ${\gamma }^{\alpha }$ and let $u(\cdot )$ be a scalar function of the time, to be thought as a control. In [4] one considers the control system ${\mathrm{\Sigma }}_{\widehat{\gamma }}$, which is parametrized by the coordinates $(q^1,\mathrm{\dots },q^N)$ and is obtained from $\mathrm{\Sigma }$ by adding the time-dependent, holonomic constraints ${\gamma }^{\alpha }={\widehat{\gamma }}^{\alpha }(t):={\tilde{\gamma }}^{\alpha }(u(t))$. More generally, one can consider a vector-valued control $u(\cdot )=(u^1,\mathrm{\dots },u^M)(\cdot )$ which is directly identified with $\widehat{\gamma }(\cdot )=({\widehat{\gamma }}^1,\mathrm{\dots },{\widehat{\gamma }}^M)(\cdot )$. If one denotes the momenta conjugate...