摘要:

A new technique for the regulation of water-quality control standards in streams is developed. The technique utilizes a model-following approach to generate a decentralized control structure, which can be implemented using a hybrid layout. Simulation results on a reach of the River Nile have clearly shown the effectiveness of the analytical approach.

ISSN:0020-7721    

DOI:10.1080/00207728708963985

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

This paper deals with the design implementation of adaptive identification schemes using a model-reference approach. An on-line, general-purpose simulation program is developed to operate in an interactive mode. The simulation program provides the user with multiple design options and aids in the assessment of the adaptive identification process. An illustrative example is presented to demonstrate the potential features of the program.

ISSN:0020-7721    

DOI:10.1080/00207728708963986

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

A generalized block pulse function (GBPF) is employed to solve the state equations of systems with multiple time-varying delays. The operational matrix for the integration and the general functional operational matrix of the GBPF are derived. These two operational matrices are introduced to solve the state equation in order to simplify the calculation procedure. A computational algorithm for solving the multi-delay state equation is described. The biggest advantage of using the GBPF is that the time interval of calculation can be adjusted arbitrarily. A small time interval is chosen for a steep rate of change of the state variable, and a large time interval for shower changes. The number of expansion coefficients is thereby reduced and computer time minimized. Two illustrative examples of constant delay and time-varying delay are given and the computational results are satisfactory.

ISSN:0020-7721    

DOI:10.1080/00207728708963987

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

A new approximation method using a generalized orthogonal polynomial (GOP) is employed for solving integral equations. The integration operational matrix of the GOP, which can represent all kinds of individual orthogonal polynomial, is developed. The dependent variables in the integral equation are assumed to be expressed by a GOP series. A set of algebraic equations is obtained from the integral equation. The calculation of coefficients is straightforward and easy. Examples are given, and the results obtained from individual orthogonal polynomial approximations are compared with each other. It is found that nearly all individual orthogonal polynomials, except Hermite polynomials, offer excellent results.

ISSN:0020-7721    

DOI:10.1080/00207728708963988

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

An effective method is presented for using generalized orthogonal polynomials (GOP) for identifying the parameters of a process whose behaviour can be modelled by a linear differential equation with time-invariant coefficients. The method is based on the differentiation operational matrix of the GOP, which can represent all kinds of individual orthogonal polynomials. The main advantage of using the differentiation operational matrix is that parameter estimation can be made starting at any time of interest, without the restriction of starting at zero time. Using the concept of GOP expansion for a state function and a control function, the differential input-output equation is converted into a set of over-determined linear algebraic equations. The unknown parameters are evaluated by a weighted least-squares estimation method. Two examples are given to demonstrate the validity of the method and good results are obtained.

ISSN:0020-7721    

DOI:10.1080/00207728708963989

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

MRAC is applied to the control of non-linear systems represented by the Wiener model wherein the non-linearity is an any-order polynomial. The adaptive algorithms proposed in this paper guarantee the asymptotic stability of the error between the plant output and the reference model with an adequate convergence rate. The coefficients of the non-linear polynomial can be identified by the proposed adaptive procedure. To illustrate the validity of the method, it is applied to the control of servo-systems in a numerical example.

ISSN:0020-7721    

DOI:10.1080/00207728708963990

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor