In this paper, we study the classical problem of stabilizing a Linear Time Invariant (LTI) system in a packet-based network setting. We assume that the LTI system is unstable but both controllable and observable. The state information is transmitted to the controller over a packetbased network. We also assume that there is a perfect link from the controller to the plant. We give a set of suffic...

In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process in finite time, a discretetime feedback dead-beat controller is designed for the sampleddata system. Checkable conditions on the approximate discretetime plant model and the as...

The aim of the given paper is development of a minimum variance control (MVC) approach for a closedloop discrete-time linear time-invariant (LTI) system when the parameters of a dynamic system as well as that of a controller are not known and ought to be estimated. The parametric identification of the open-loop LTI system and the determination of the coefficients of the MV controller are perfor...

In this paper a new systematic switching control approach to adaptive stabilization of linear time-varying (LTV) discrete-time systems is presented. A feature of the localization-based method is its high model falsification capability, which in the case of LTI systems is manifested as the rapid convergence of the switching controller. We believe that the proposed method may help pave the way fo...

This paper presents a State-space Model Interpolation of Local Estimates (SMILE) technique to compute linear parameter-varying (LPV) models for parameter-dependent systems through the interpolation of a set of linear time-invariant (LTI) state-space models obtained for fixed operating conditions. Since the state-space representation of LTI models is not unique, a suitable coherent representatio...

The direct determination of the steady state response for linear time invariant (LTI) systems modeled by multibond graphs is presented. Firstly, a multiport junction structure graph in an integral causality assignment (MBGI) to get space system introduced. By assigning derivative storage elements, (MBGD) proposed. Based on this MBGD, theorem obtain Two case studies variables are applied. Both c...

In general, linear time-invariant (LTI) continuous-time (CT) systems can be implemented by means of LTI discrete-time (DT) systems, at least for a certain frequency band. If a causal CT system is not bandlimited, the equivalent DT system may has be to non-causal for perfectly implementing the CT system within a certain frequency band. This paper studies the question to which degree a causal DT ...

The paper is concerned with the approximation of the destributional behaviour of linear, time-invariant (LTI) systems. First, we review the different types of approximations of distributions by smooth functions and explain their significance in characterizing system properties. Secondly, for controllable LTI differential systems, we establish an interesting relation between the time and volatil...

In this article we study the problem of finite-time constrained optimal control unknown stochastic linear time-invariant (LTI) systems, which is key ingredient a predictive algorithm—albeit typically having access to model. We propose novel distributionally robust data-enabled (DeePC) algorithm uses noise-corrupted input/output data predict future trajectories and compute inputs while satisfyin...

This paper develops resource-efficient alternatives to modular redundancy for fault-tolerant discrete-time (DT) linear time-invariant (LTI) dynamic systems. The proposed method extends previous approaches that are based on embedding the state of a given DT LTI dynamic system into the redundant state-space of a DT LTI dynamic system of higher state dimension. These embeddings, as well as the emb...