abstract: This thesis considers the application of basis pursuit to several problems in system identification. After reviewing some key results in the theory of basis pursuit and compressed sensing, numerical experiments are presented that explore the application of basis pursuit to the black-box identification of linear time-invariant (LTI) systems with both finite (FIR) and infinite (IIR) impulse responses, temporal systems modeled by ordinary differential equations (ODE), and spatio-temporal systems modeled by partial differential equations (PDE). For LTI systems, the experimental results illustrate existing theory for identification of LTI FIR systems. It is seen that basis pursuit does not identify sparse LTI IIR systems, but it does i...
This paper discusses estimation of the finite impulse response (FIR) for a linear time-invariant (LT...
AbstractIn time-domain identification of linear systems the aim is to estimate the impulse response ...
Identification or model reduction of a linear system can be done in the time or in the frequency dom...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
This paper deals with the error processing problem of sparse identification of nonlinear dynamical s...
A real time computational method is presented for the identification of linear discrete dynamic syst...
The ultimate goal of system identification is the identification of possibly nonlinear systems in th...
The ultimate goal of system identification is the identification of possibly nonlinear systems in th...
In this paper, we consider the problem of system identification when side-information is available o...
Time recordings of impulse-type oscillation responses are short and highly transient. These characte...
The problem, of estimating the impulse response of a linear system arises is adaptive, control probl...
Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devic...
Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devic...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
This paper discusses estimation of the finite impulse response (FIR) for a linear time-invariant (LT...
AbstractIn time-domain identification of linear systems the aim is to estimate the impulse response ...
Identification or model reduction of a linear system can be done in the time or in the frequency dom...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
This paper deals with the error processing problem of sparse identification of nonlinear dynamical s...
A real time computational method is presented for the identification of linear discrete dynamic syst...
The ultimate goal of system identification is the identification of possibly nonlinear systems in th...
The ultimate goal of system identification is the identification of possibly nonlinear systems in th...
In this paper, we consider the problem of system identification when side-information is available o...
Time recordings of impulse-type oscillation responses are short and highly transient. These characte...
The problem, of estimating the impulse response of a linear system arises is adaptive, control probl...
Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devic...
Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devic...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
This paper discusses estimation of the finite impulse response (FIR) for a linear time-invariant (LT...
AbstractIn time-domain identification of linear systems the aim is to estimate the impulse response ...
Identification or model reduction of a linear system can be done in the time or in the frequency dom...