This paper proposes a robust control strategy for uncertain LTI systems. The strategy is based on an uncertainty and disturbance estimator (UDE). It brings similar performance as the time-delay control (TDC). The advantages over TDC are: (i) no delay is introduced into the system; (ii) there are no oscillations in the control signal; and (iii) there is no need of measuring the derivatives of th...

Robust stabilization of continuous time single-input single-output (SISO) linear time invariant (LTI) systems with multiplicative uncertainties is considered in this paper. In particular, it has been shown that all gains that robustly stabilize a given uncertain SISO LTI system can be found by utilizing a generalization of the Nyquist theorem. The method proposed involves calculation of roots o...

This paper performs a joint analysis of control and coding for stability and performance of LTI systems connected over communication networks. We study the communication rate required for stability of the differential entropy and mean-square stability of the state estimation error. We show that the optimal control and coding problems in the minimization of an LQR cost are separable; we further ...

Recently developed neuromorphic vision sensors have become promising candidates for agile and autonomous robotic applications primarily due to, in particular, their high temporal resolution and low latency. Each pixel of this sensor independently fires an asynchronous stream of “retinal events" once a change in the light field is detected. Existing computer vision algorithms can only process pe...

The classical robust control deals with systems which can be approximated by nite order linear time-invariant (LTI) models, uses integral constraints, such as induced gain bounds, to assess robustness with respect to the error of such approximation, and employs H-In nity optimization to design robust linear controllers. In this paper, a parallel approach is developed, in which nite state stocha...

Much attention in robust identi cation and control has been focused on linear low order models approximating high order linear systems. We consider the more realistic situation with a linear model approximating a non-linear system. We describe how a linear time invariant (LTI) model with unstructured uncertainty, i.e. a band of Nyquist curves can be developed using a non-linear model error mode...

The leader-following consensus of multiple linear time invariant (LTI) systems under switching topology is considered. The leader-following consensus problem consists of designing for each agent a distributed protocol to make all agents track a leader vehicle, which has the same LTI dynamics as the agents. The interaction topology describing the information exchange of these agents is time-vary...

Stability is an important concept in LTI systems theory because any (practical) signal processing system must be stable. Unstable systems have outputs which grow unbounded for a bounded input. Of course, real systems, having limited energy, outputs cannot grow to infinity. However they can move to one limit or another and stay there. For example in an electrical circuit the output voltage might...

BACKGROUND The prevalence of cardiovascular disease (CVD) has increased steadily in recent years. Literature data show that about 35% of atherosclerotic events occur in the absence of classic risk factors, requiring a broader assessment of the individual to better characterize the risk. Lipid Tetrad Index (LTI) and Lipid Pentad Index (LPI) constitute a new and efficient evaluation of the lipid ...

Cholera toxin (CT) is an AB(5) toxin responsible for the profuse secretory diarrhea resulting from Vibrio cholerae infection. CT consists of a pentameric, receptor-binding B subunit (CTB) and a monomeric A subunit (CTA) that has latent enzymatic activity. In addition to its enterotoxicity, CT has potent mucosal adjuvant activity and can also function as a carrier molecule with many potential ap...