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Journal ArticleDOI

Control of large-scale dynamic systems by aggregation

TLDR
Using the quantitative definition of weak coupling proposed by Milne, a suboptimal control policy for the weakly coupled system is derived and questions of performance degradation and of stability of such suboptimally controlled systems are answered.
Abstract
A method is proposed to obtain a model of a dynamic system with a state vector of high dimension. The model is derived by "aggregating" the original system state vector into a lower-dimensional vector. Some properties of the aggregation method are investigated in the paper. The concept of aggregation, a generalization of that of projection, is related to that of state vector partition and is useful not only in building a model of reduced dimension, but also in unifying several topics in the control theory such as regulators with incomplete state feedback, characteristic value computations, model controls, and bounds on the solution of the matrix Riccati equations, etc. Using the quantitative definition of weak coupling proposed by Milne, a suboptimal control policy for the weakly coupled system is derived. Questions of performance degradation and of stability of such suboptimally controlled systems are also answered in the paper.

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Citations
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Order reduction and control of discrete systems

TL;DR: A unified approach to model reduction and control analysis of weakly coupled discrete systems is presented and mode separation is expressed in terms of inequalities relating norms of system submatrices.
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Multilevel systems and concepts in process control

TL;DR: The multilevel approach provides a framework for the structuring and design of a control and management information system for achieving a totally integrated plant automation in the process control field.
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A Review of Proper Modeling Techniques

TL;DR: In this paper, a broad survey of the proper modeling literature is presented, with the intention of helping the modeler to identify the most suitable proper modeling method for a given application.
Journal ArticleDOI

Some approximation methods for estimation and control of large scale systems

TL;DR: Several methods for approximate estimation and control of large scale systems, mostly based on the notions of aggregation and disaggregation are presented.
Journal ArticleDOI

Discrete interval system reduction using Pade approximation to allow retention of dominant poles

TL;DR: In this paper, a method of reduction for discrete interval systems using Pade approximation to allow the retention of dominant poles is presented, where the numerator is obtained by matching interval time moments.
References
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On "A method for simplifying linear dynamic systems"

TL;DR: A method is proposed for reducing large matrices by constructing a matrix of lower order which has the same dominant eigenvalues and eigenvectors as the original system.
Journal ArticleDOI

Estimation of the state vector of a linear stochastic system with a constrained estimator

TL;DR: In this article, a constructive design procedure for the problem of estimating the state vector of a discrete-time linear stochastic system with time-invariant dynamics when certain constraints are imposed on the number of memory elements of the estimator is presented.
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