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Control of large-scale dynamic systems by aggregation

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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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Journal ArticleDOI

Application of Aggregation Methods in Control of Power Systems

TL;DR: One of the main classes of model reduction-aggregation is used and the results of the two different methods are discused and compared for application in Power Systems.
Journal ArticleDOI

The role of computers in simulation, optimization and control

TL;DR: The impact of recent achievements in computer technology on the simulation, optimization and control of chemical systems is discussed and the role of nanofiltration in this area is discussed.
Journal ArticleDOI

An Application of Aggregation Methods to Optimal Control of Large-Scale Discrete Dynamical Systems

TL;DR: In this paper, an unusual application of aggregation methods to optimal control of large-scale linear discrete time dynamical systems is presented, where the original system is aggregated by usual aggregation methods, to obtain a simplified one, to be utilized as a first subsystem of a new global system.
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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