نتایج جستجو برای: state space and subspace identification
تعداد نتایج: 17066051 فیلتر نتایج به سال:
in this article, we have focused one some basic and productive information about the properties of spectrum and singular values related to compact operators which are ideals in a c*-algebra of bounded operators. considering a two-sided connection between the family of symmetric gauge functions on sequence of singular values of compact operators and symmetric norms on finite dimensional ope...
This paper considers the identification of large-scale 1D networks consisting of identical LTI dynamical systems. A new subspace identification method is developed that only uses local input-output information and does not rely on knowledge about the local state interaction. The identification of the local system matrices (up to a similarity transformation) is done via a low dimensional subspac...
We report an application of Kalman filtering to the inverted pendulum (IP) of the Virgo gravitational wave interferometer. Using subspace method system identification techniques, we calculated a linear mechanical model of Virgo IP from experimental transfer functions. We then developed a Kalman filter, based on the obtained state space representation, that estimates from open loop time domain d...
This paper provides a comprehensive framework for the state-space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor product of matrices and the matrix expression of logic, the logical dynamic equations of Boolean (control) networks can be converted into standard discrete-time dynamics. To use the state-space approach, the state space and its...
in [1,2,3], a. c. baker and j.w. baker studied the subspace ma(s) of the convolution measure algebra m, (s) of a locally compact semigroup. h. dzinotyiweyi in [5,7] considers an analogous measure space on a large class of c-distinguished topological semigroups containing all completely regular topological semigroups. in this paper, we extend the definitions to study the weighted semigroup algeb...
Principal Components Analysis (PCA) being the most optimal linear mapper in Least-Squares (LS) sense has been predominantly used in subspace-based signal processing methods. In system identification problem, optimal subspace projections must span the joint space of the input and output of the unknown system. In this scenario, subspaces determined by the principal components of the input or the ...
The analysis of input design for parameter estimation the linear, dynamic Single Input Output (SISO) second order systems is focus this paper. open loop system identification method considered different signals in work. Numerical algorithm Subspace State Space System Identification (N4SID) used identification. In work, five are Amplitude Pseudo Random Binary Sequence (APRBS) and Multisine given...
The transfer function of a linear mechanical system can be defined in terms the quadruplet state-space matrices (A,B,C,D) that identified from input and output measurements with subspace-based identification methods. estimation has been well studied literature both theoretical practical viewpoints. Nonetheless, algorithm for uncertainty quantification its errors resultant parametric is missing ...
1 Author to whom all correspondence should be addressed. Abstract: This paper focuses on the design of a model-based predictive control (MPC or MBPC) technique to regulate the concentration levels of nitrate in both anoxic and aerobic zones of a pre-denitrifying activated sludge plant, aiming to improve the nitrogen (N)removal from wastewater. The synthesis of the MPC controller is based on a l...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید