5,404 research outputs found
Sufficient conditions for controllability and observability of serial and parallel concatenated linear systems
This paper deals with the sufficient conditions
for controllability and observability characters of finitedimensional
linear continuous-time-invariant systems of serial
and parallel concatenated systems. The obtained conditions
depend on the controllability and observability of the systems
and in some cases, the functional output-controllability of the
first one.Peer ReviewedPostprint (published version
emgr - The Empirical Gramian Framework
System Gramian matrices are a well-known encoding for properties of
input-output systems such as controllability, observability or minimality.
These so-called system Gramians were developed in linear system theory for
applications such as model order reduction of control systems. Empirical
Gramian are an extension to the system Gramians for parametric and nonlinear
systems as well as a data-driven method of computation. The empirical Gramian
framework - emgr - implements the empirical Gramians in a uniform and
configurable manner, with applications such as Gramian-based (nonlinear) model
reduction, decentralized control, sensitivity analysis, parameter
identification and combined state and parameter reduction
Exact observability and controllability for linear neutral type systems
The problem of exact observability is analyzed for a wide class of neutral
type systems by an infinite dimensional approach. The duality with the exact
controllabil-ity problem is the main tool. It is based on an explicit
expression of a neutral type system which corresponding to the abstract adjoint
system. A nontrivial relation is obtained between the initial neutral system
and the system obtained via the adjoint abstract state operator. The
characterization of the duality between controllability and observability is
deduced, and then observability conditions are obtained.Comment: Accepted in Systems and Control Letter
Observability Inequality of Backward Stochastic Heat Equations for Measurable Sets and Its Applications
This paper aims to provide directly the observability inequality of backward
stochastic heat equations for measurable sets. As an immediate application, the
null controllability of the forward heat equations is obtained. Moreover, an
interesting relaxed optimal actuator location problem is formulated, and the
existence of its solution is proved. Finally, the solution is characterized by
a Nash equilibrium of the associated game problem
Mixed-Signal Testability Analysis for Data-Converter IPs
In this paper, a new procedure to derive testability measures is presented. Digital testability can be calculated by means of probability, while in analog it is possible to calculate testability using impedance values. Although attempts have been made to reach compatibility, matching was somewhat arbitrary and therefore not necessarily compatible. The concept of the new approach is that digital and analog can be integrated in a more consistent way. More realistic testability figures are obtained, which makes testability of true mixed-signal systems and circuits feasible. To verify the results, our method is compared with a sensitivity analysis, for a simple 3-bit ADC
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