This paper proposes a new methodology for subspace identification of linear time-periodic (LTP) systems with periodic inputs. method overcomes the issues related to computation frequency response LTP by utilizing time-lifted system time-invariant structure instead. The is estimated an ensemble input-output data allows frequency-domain technique be extended systems. time-aliased impulse can then...

For Finite State Machines (FSMs) a rich testing theory has been developed to discover aspects of their behavior and ensure correct functioning. Although this frequently used, e.g. check conformance protocol implementations, its applicability is limited by restrictions FSMs, in which inputs outputs alternate, are determined the previous input state. Labeled Transition Systems with (LTSs), as stu...

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to...

This paper discusses the estimation of a class of discrete-time linear stochastic systems with statistically constrained unknown inputs (UI), which can represent an arbitrary combination of a class of un-modeled dynamics, random UI with unknown covariance matrix and deterministic UI. In filter design, an upper bound filter is explored to compute, recursively and adaptively, the upper-bounds of ...

Monotone systems constitute one of the most important classes of dynamical systems used in mathematical biology modeling. The objective of this paper is to extend the notion of monotonicity to systems with inputs and outputs, a necessary first step in trying to understand interconnections, especially including feedback loops, built up out of monotone components. Basic definitions and theorems a...

This paper focuses on the stabilization problem of neutral systems in the presence of control saturation. Based on a descriptor approach and the use of a modified sector condition, global and local stabilization conditions are derived using Lyapunov-Krasovskii functionals. These conditions allow to consider systems presenting time-varying delays and are formulated directly as linear matrix ineq...

In a recent paper we have shown that data collected from linear systems excited by persistently exciting inputs during low-complexity experiments, can be used to design state- and output-feedback controllers, including optimal Linear Quadratic Regulators (LQR), solving matrix inequalities (LMI) semidefinite programs. We also how stabilize in the first approximation unknown nonlinear using data....