Results 221 to 230 of about 76,378 (267)

Sensitivity in Multivariable Control Systems

Journal of Basic Engineering, 1969
Definitions of system sensitivity for linear single variable systems have been extended, in the past, to linear multivariable systems in the form of a sensitivity matrix. The role of the sensitivity matrix in multivariable feedback control systems is studied further in this paper. The sensitivity matrix serves the dual function of governing the effects
W. F. Horton, C. T. Leondes
openaire   +1 more source

Adaptive Control of Multivariable Systems

1985
Abstract : During this period the Principal Investigator wrote six technical papers. Titles are: New directions in parameter adaptive control, Adaptive stabilization of linear systems with unknown high frequency, A smooth algorithm for adaptive stabilization of a discrete linear system with an unknown high frequency gain, A 4(n+1)-dimensional model ...
openaire   +1 more source

Multivariable multidimensional computer controlled systems

Transactions of the Institute of Measurement and Control, 1993
Design and analysis procedures for multivariable multidimensional computer controlled systems are presented. An algorithm enabling relative stability to be assessed is derived and the stable portion of the gain space for a two-dimensional system is computed.
R. Whalley, Z. Zeng
openaire   +1 more source

Nonlinear Control of Multivariable Systems

1999
It is usual to think that there exist only a few control problems that can be posed directly in the frame of the input-state representation of a control system. They are presented by the well developed basic problems of stabilization about the state equilibrium point x = x* and tracking of the state reference trajectory x*(t) generated by a dynamical ...
Alexander L. Fradkov, Iliya V. Miroshnik, Vladimir O. Nikiforov   +2 more
openaire   +1 more source

Multivariable control system design

1990
An introduction to multivariable control system design has been presented. Due to lack of space, only a brief overview has been given, but the interested reader can consult the references cited for further discussion.
openaire   +1 more source

Multivariable State Control Systems

1981
The state controller for multivariable processes was designed in chapter 8. Therefore only a few additional comments are made in this chapter. The process equation considered in the deterministic case is $$x\left( {k + 1} \right) = Ax\left( k \right) + Bu\left( k \right)$$ (21.1) $$y\left( k \right) = Cx\left( k \right)$$ (21.2 ...
openaire   +1 more source

Multipurpose controllers for multivariable systems

IEEE Transactions on Automatic Control, 1981
The primary purpose of this paper is to outline a new procedure for designing controllers which simultaneously achieve a variety of desired design goals in deterministic, unity feedback, linear multivariable systems. More specifically, we will present a new algorithm for the systematic design of a "three-part" multivariable controller which ...
openaire   +1 more source

A Design Procedure for Multivariable Control Systems

Journal of Dynamic Systems, Measurement, and Control, 1974
A design procedure is presented which focuses upon a dynamic compensator of prespecified structural form. The order and feedback matrices of the compensator are first chosen to achieve stability through pole assignment via plant output feedback. The compensator feedforward matrices are then selected to satisfy various steady state and static or dynamic
Anakwa, W. N., Pearson, A. E.
openaire   +1 more source

Robust Controllers for Uncertain Linear Multivariable Systems

IFAC Proceedings Volumes, 1984
Three distinct problems in the design of stabilizing controllers for imprecisely known linear multivariable systems are considered. Suppose that P(s) is a true plant transfer matrix and that P(s) is nomially modeled by \(P_ 0(s)\). The first problem is concerned with additive and multiplicative perturbations.
Vidyasagar, M., Kimura, H.
openaire   +1 more source

PID Control of Multivariable Systems

2019
In this chapter, we describe a novel approach to design multivariable controllers using single-input single-output theory. This method, based on the Smith-McMillan diagonal form of the plant, allows the scalar PID controller design methods, developed in earlier chapters, to be applied to multivariable systems, one loop at a time.
Iván D. Díaz-Rodríguez, Sangjin Han, Shankar P. Bhattacharyya   +2 more
openaire   +1 more source