An Identification Algorithm for Linear Discrete Multivariable Systems with Matrix and Scaler Parameters
نویسندگان
چکیده
منابع مشابه
Achieving diagonal interactor matrix for multivariable linear systems with uncertain parameters
Akarae t -The notion of interactor matrix or equivalently the Hermite normal form, is a generalization of relative degree to multivariable systems, and is crucial in problems such as decoupling, inverse dynamics, and adaptive control. In order for a system to be input-output decoupled using static state feedback, the existence of a diagonal interactor matrix must first be established. For a mul...
متن کاملAn Evolutionary Algorithm for Linear Systems Identification
This paper presents a systems identification method, for discrete time linear systems, based on an evolutionary approach, which allows achieving the selection of a suitable structure and the parameters estimation, using non conventional objective functions. This algorithm incorporates parametric crossover and parametric mutation along a weighted gradient direction [1]. The performance of the pr...
متن کاملPerturbation of multivariable linear quadratic systems with jump parameters
We consider the problem of the perturbation of a class of linear-quadratic systems where the change from one structure (for the dynamics and costs) to another are governed by a nite-state Markov process where the transition are perturbed. The problem above lead to the analysis of some perturbed linearly coupled set of quadratic equations (Riccati Equation). We show that the matrix obtained as t...
متن کاملa new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
15 صفحه اولNew Algorithm for Recursive Estimation in Linear Discrete-Time Systems with Unknown Parameters
Abstract: The problem of recursive filtering for linear discrete-time systems with uncertainties is considered. A new suboptimal filtering algorithm is herein proposed. It is based on the fusion formula, which represents an optimal mean-square linear combination of local Kalman estimates with weights depending on cross-covariances between local filtering errors. In contrast to the optimal weigh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1982
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.18.751