Identification of physical parameters in structured systems

نویسندگان

  • Soura Dasgupta
  • Brian D. O. Anderson
  • R. John Kaye
چکیده

~bshmct-~ine&, time-invatiant systems with a limited algorithms thus estimate the numerator and. : number of unknowns corresponding to physical component. : often exhititcertain sm-l mnditiollS on the way . . denominator coefficients of the transfer function, .' in which these values appear in the transfer functions. In this having first assumed all of them to be unknown. paper, the problem, of identifying 'these unknowns is In practice, however, a great deal. of partial considered. Tbe s t w t n n translates to an d a t e d iden*tion problem whi& is in the uhknowns, : knowledge is often available, which if exploited -,is exploited in the design of two algorittms, which use . should give rise to parameterizations involving measurements of input and,output and knowledge of the fewer rnknowns and befler identifieation :. polynomial axffidents of the multilinear fombimtiom of the . . . . system parameters. Conditions ace established, for the uniform asymptotic stability of these algorithms. Usually, the lack of knowledge in a svstem .

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimating the Parameters in Photovoltaic Modules: A Constrained Optimization Approach

This paper presents a novel identification technique for estimation of unknown parameters in photovoltaic (PV) systems. A single diode model is considered for the PV system, which consists of five unknown parameters. Using information of standard test condition (STC), three unknown parameters are written as functions of the other two parameters in a reduced model. An objective function and ...

متن کامل

Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method

Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, it is possible to model the physical systems accurately. This paper deals with time-domain id...

متن کامل

2D inversion of gravity data in bedrock identification (case study: a part of Qotrum plain in Yazd province)

Introduction The gravity method measures the vertical component of the acceleration at the Earth’s surface. The earth’s gravity field is affected by the density of different rocks and structures. Therefore, this method can be used in mineral exploration or studying the subsurface cavities and structures such as bedrocks, channels, and dikes. Inverse modeling is useful in understanding the p...

متن کامل

Identification and Control of MIMO Systems with State Time Delay (Short Communication)

Time-delay identification is one of the most important parameters in designing controllers. In the cases where the number of inputs and outputs in a system are more than one, this identification is of great concern. In this paper, a novel autocorrelation-based scheme for the state variable time-delay identification for multi-input multi-output (MIMO) system has been presented. This method is ba...

متن کامل

Stable Rough Extreme Learning Machines for the Identification of Uncertain Continuous-Time Nonlinear Systems

‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification of continuous-time nonlinear systems in the presence of noises and uncertainties‎, ‎and we prove the global ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Automatica

دوره 24  شماره 

صفحات  -

تاریخ انتشار 1988